Guru vs Progress Agentic RAG

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Progress Agentic RAGMore about GuruGet Started Today
Priyansh Khodiyar's avatar
Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Guru and Progress Agentic RAG across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Guru and Progress Agentic RAG, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

  • Choose Guru if: you value permission-aware ai is unique differentiator - answers respect real-time access control
  • Choose Progress Agentic RAG if: you value proprietary remi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors

About Guru

Guru Landing Page Screenshot

Guru is ai-powered knowledge management and search platform. Enterprise AI knowledge platform with permission-aware Knowledge Agents that deliver trusted, cited answers from your company's verified knowledge base across all workflows. Founded in 2015, headquartered in Philadelphia, PA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
86/100
Starting Price
$25/mo

About Progress Agentic RAG

Progress Agentic RAG Landing Page Screenshot

Progress Agentic RAG is enterprise application development and deployment platform. Enterprise RAG-as-a-Service platform launched Sept 2025 following Progress Software's acquisition of Barcelona-based Nuclia. Combines SOC2/ISO 27001 security with proprietary REMi evaluation model for continuous answer quality monitoring. Built on open-source NucliaDB (710+ GitHub stars) with Python/JavaScript SDKs. Starting at $700/month. Founded in 2019 (Nuclia), acquired 2025, headquartered in Barcelona, Spain (Nuclia) / Bedford, MA, USA (Progress), the platform has established itself as a reliable solution in the RAG space.

Overall Rating
82/100
Starting Price
$700/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Guru starts at a lower price point. The platforms also differ in their primary focus: Knowledge Management versus Enterprise Software. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

logo of guru
Guru
logo of progress
Progress Agentic RAG
logo of customGPT logo
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Native Knowledge Base: Guru Cards - verified knowledge articles with expert ownership and verification workflows
  • Pre-Built Connectors: Google Drive, SharePoint, Confluence, Notion, Slack channels, Discord servers
  • External Sources: Optionally approved public websites and web content
  • Content Types: Structured (Cards, wikis) and unstructured (documents, conversations, attachments)
  • Automated Syncing: API/SDK for automated Card creation, Zapier/Workato/Prismatic integrations for continuous sync
  • Real-Time Indexing: Knowledge updates reflected immediately in AI agent responses
  • Verification System: Regular verification intervals prompt content owners to review and update knowledge
  • Enterprise Scale: Handles millions of knowledge items across large organizations (thousands of employees)
  • Single Source of Truth: Centralized, verified company knowledge accessible to all AI agents
  • 60+ Document Formats: PDF, Word (.docx), Excel, PowerPoint, plain text, email formats with automatic parsing
  • Multimedia Processing: Automatic speech-to-text (MP3, WAV, AIFF), video transcript extraction (MP4, etc.), OCR for scanned documents/images
  • Cloud Connectors: SharePoint, Confluence, OneDrive, Google Drive, Amazon S3 with direct integration
  • Sync Agent Desktop App: 60-minute automatic sync with content hashing to prevent redundant reindexing
  • Manual Upload Interface: Files, folders, web links, sitemaps, Q&A pairs via dashboard
  • Fast Deployment: 2-hour initial ingestion, 48-hour full deployment timeline
  • CRITICAL GAPS: NO Dropbox integration, NO Notion integration, NO explicit YouTube transcript extraction documented
  • Architecture Focus: Comprehensive knowledge retrieval vs lead conversion focus (unlike Drift)
  • Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
  • Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
  • Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text. View Transcription Guide
  • Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier. See Zapier Connectors
  • Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
  • Native Workplace Apps: Slack workspace bot, Microsoft Teams bot, browser extension for any web app
  • AI Tool Integration: ChatGPT, Claude, GitHub Copilot via MCP (Model Context Protocol) Server
  • Business Apps: Salesforce knowledge integration, Zendesk support integration, intranet portals
  • Automation Platforms: Zapier (1,000+ apps), Workato, Prismatic for custom workflows
  • Developer Access: REST API, Python SDK, webhooks for event-driven integrations
  • Mobile Apps: iOS and Android native apps for on-the-go knowledge access
  • Embedded Knowledge: Widgets for internal portals, API-driven custom chat interfaces
  • MCP Server: Universal connector for any AI tool to access Guru's permission-aware knowledge layer
  • Focus: Strong internal channel support (Slack/Teams), less emphasis on public consumer channels (WhatsApp, Telegram)
  • Python SDK: pip install nuclia (Python 3.8+, ~21,000 weekly downloads)
  • JavaScript/TypeScript SDK: @nuclia/core on NPM (React, Next.js, Angular, Vue.js, Svelte)
  • CMS Plugins: WordPress, Strapi integrations
  • Workflow Automation: Pipedream official app, Zapier API-compatible
  • Chrome Extension: Web page indexing capability
  • Progress Ecosystem: OpenEdge database connector, Sitefinity CMS integration ('first Generative CMS')
  • CRITICAL LIMITATION: NO native Slack, WhatsApp, Telegram, or Microsoft Teams integrations
  • Platform Design: RAG backend + embeddable widget, NOT omnichannel conversational AI platform
  • Custom Development Required: Messaging platform integrations need API-based custom builds
  • Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app.
  • Offers ready-made hooks for Slack, Zendesk, Confluence, YouTube, Sharepoint, 100+ more. Explore API Integrations
  • Connects with 5,000+ apps via Zapier and webhooks to automate your workflows.
  • Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases.
  • Hosted CustomGPT.ai offers hosted MCP Server with support for Claude Web, Claude Desktop, Cursor, ChatGPT, Windsurf, Trae, etc. Read more here.
  • Supports OpenAI API Endpoint compatibility. Read more here.
Core Chatbot Features
  • Conversational AI: Multi-turn dialogue with context retention - feels like talking to a knowledgeable co-worker
  • Multi-Lingual: Content in all languages supported, instant translation to 50+ languages (UI English-only)
  • Grounded Answers: All responses backed by verified company knowledge with automatic citations
  • Customizable Knowledge Agents: Create and deploy specialized AI agents for any team or project tailoring knowledge sources, tone, and focus to provide highly relevant role-specific insights that improve over time
  • Research Mode: Complex queries generate structured multi-source reports with detailed analysis
  • Permission-Aware: Answers automatically tailored to user's role and access permissions
  • Content Assist Features: Actions include "Fix grammar," "Summarize," "Make more concise," or custom prompts to match team tone or formatting needs
  • Admin Customization Controls: Admins can toggle specific actions on or off and create custom assist actions for different user groups ensuring alignment across teams
  • Conversation Logging: Complete audit trail via AI Agent Center - every question, answer, and source tracked
  • Analytics Dashboard: Usage stats, deflection rates, time saved, trending questions, knowledge gap identification
  • Human Escalation: Seamless handoff to subject-matter experts when AI cannot answer, convert queries to Card requests
  • Internal Focus: Optimized for employee knowledge access vs. external customer engagement features (lead capture not core)
  • AI Search & Generative Answers: Semantic search and Q&A across knowledge bases with trusted, source-linked answers
  • Multi-Turn Conversations: Context-aware dialogue with conversation history maintained for follow-up questions
  • Source Citations: Every answer includes citations linking to source documents for verification and transparency
  • Auto-Summarization: Automatic summarization of long documents for quick understanding
  • Entity Recognition: AI classification and entity extraction enriching corpus for better Q&A
  • Answer-Only Mode: Widget configuration for concise answers vs detailed responses based on use case
  • Multilingual Support: Nuclia multilingual embedding model handles multiple languages out-of-box
  • MISSING FEATURES: NO lead capture, NO human handoff/escalation workflows, NO chat history export for users
  • Reduces hallucinations by grounding replies in your data and adding source citations for transparency. Benchmark Details
  • Handles multi-turn, context-aware chats with persistent history and solid conversation management.
  • Speaks 90+ languages, making global rollouts straightforward.
  • Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Branding
  • Custom Agents: Each Knowledge Agent has unique name, avatar, scope, and purpose (IT, HR, Sales, Marketing, Product)
  • Prompt Configuration: Custom instructions and system messages per agent to shape behavior and response style
  • Permission Scoping: Agents automatically respect user roles - managers see more detail than general employees
  • Department Specialization: Create specialized agents for different teams using relevant knowledge Collections
  • Portal Branding: Guru Pages/Portal can include company logos, colors, custom styling for internal knowledge sites
  • Limited White-Labeling: Guru branding typically present in web app and extension (internal tool focus, not external)
  • Access Controls: Domain/IP restrictions (Enterprise), SAML SSO, SCIM provisioning for controlled access
  • Role-Based UI: Different user roles (admin, author, viewer) see different interfaces and capabilities
  • Configuration UI: No-code agent setup via "Manage > Knowledge Agents" menu with guided workflows
  • Prompt Lab: Test LLMs side-by-side using actual customer data with real-time comparison
  • 30+ RAG Parameters: Custom chunking strategies, context size configuration, hybrid search weighting
  • Retrieval Strategy Customization: Agents autonomously select optimal approaches per query
  • Widget Customization: Visual editor for suggestions, filters, metadata, thumbnails, answer modes
  • Advanced CSS Styling: Shadow DOM with cssPath attribute for deep customization
  • White-Labeling Support: Full OEM deployments via API-first architecture
  • Role-Based Access Control: Account-level (Owners, Members), Knowledge Box-level (Manager, Writer, Reader) with cascading permissions
  • SSO Integration: Enterprise identity provider connectivity
  • Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand. White-label Options
  • Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
  • Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
  • Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
  • Abstracted Model: LLM selection handled under the hood - likely OpenAI GPT (GPT-3.5/GPT-4) by default
  • No User Selection: No UI toggle for model choice - optimized for trust and simplicity over technical control
  • LLM-Agnostic Architecture: Platform designed to work with different models for enterprise flexibility
  • Private Models: Enterprise can opt for dedicated private AI model instance (e.g., Azure OpenAI in customer tenant)
  • Zero Data Retention: Third-party LLM endpoints configured to never store or train on customer data
  • Automatic Optimization: System may use different models for simple FAQ vs. complex Research Mode queries
  • Security Focus: Model choice prioritizes compliance, data sovereignty, and zero leakage guarantees
  • Quality Assurance: All answers cited and permission-aware regardless of underlying model - trust layer above LLM
  • Anthropic: Claude 3.7, Claude 3.5 Sonnet v2
  • OpenAI: ChatGPT 4o, 4o mini
  • Google: Gemini Flash 2.5, Palm2
  • Meta: Llama 3.2
  • Microsoft/Azure: Mistral Large 2
  • Cohere: Command-R suite
  • Nuclia Private GenAI: 100% data isolation for maximum security
  • Model Switching: Change providers without architectural changes via Prompt Lab
  • Embedding Flexibility: Configurable per Knowledge Box (Nuclia multilingual default + OpenAI embeddings)
  • Side-by-Side Testing: Compare responses across models using actual data in Prompt Lab
  • Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ).
  • Automatically balances cost and performance by picking the right model for each request. Model Selection Details
  • Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
  • Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
  • REST API: Comprehensive endpoints for Cards, Collections, users, groups, AI queries, analytics
  • Python SDK: Official library for minimal-code integrations and automation scripts
  • Webhooks: Event subscriptions for Card updates, AI queries, user actions, knowledge changes
  • MCP Server: Model Context Protocol integration for connecting external AI tools to Guru knowledge
  • Integration Platforms: Pre-built Zapier, Workato, Prismatic connectors for no-code/low-code workflows
  • API Documentation: Extensive developer docs at developer.getguru.com with references, guides, examples
  • Authentication: API tokens, OAuth support, SAML SSO for programmatic access
  • Use Cases: Automated knowledge sync, custom chatbot frontends, analytics integration, bulk operations
  • Developer Community: Active Guru Developer Network, community forum, example projects shared
  • Open-Source Foundation: NucliaDB (710+ GitHub stars, AGPLv3 license, Python/Rust) provides transparency into core retrieval mechanisms
  • Python SDK: pip install nuclia (Python 3.8+, ~21,000 weekly downloads) - full API coverage
  • JavaScript/TypeScript SDK: @nuclia/core (React, Next.js, Angular, Vue.js, Svelte support)
  • REST API: Regional endpoints https://{region}.rag.progress.cloud/api/v1/ with comprehensive documentation
  • Key Endpoints: /ask (generative answers), /find (semantic search), /upload (ingestion), /remi (quality evaluation)
  • Dual Documentation: docs.rag.progress.cloud (primary) + legacy docs.nuclia.dev (fragmentation concern)
  • RAG Cookbook: Downloadable comprehensive guide for developers
  • Code Example Simplicity: Upload and search in just a few Python lines with intuitive SDK design
  • API-First Design: Complete programmatic control over all platform capabilities
  • Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat. API Documentation
  • Offers open-source SDKs—like the Python customgpt-client—plus Postman collections to speed integration. Open-Source SDK
  • Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
  • RAG Foundation: Retrieval-Augmented Generation grounds all answers in verified company knowledge
  • Automatic Citations: Every answer includes exact source references (slide 8, specific Card, document section)
  • Multiple Retrieval Techniques: Several search algorithms ensure best information found for each query
  • Synthesis Capability: Combines insights from multiple documents for comprehensive complex answers
  • Verified Knowledge Base: Expert verification workflows ensure underlying data is reliable and current
  • Permission Filtering: Retrieval only uses content user is authorized to see - prevents context contamination
  • Hallucination Reduction: RAG architecture significantly reduces AI hallucinations vs. LLM-only approaches
  • Confidence Handling: When unsure, agent indicates lack of knowledge rather than guessing wrong answer
  • Real-Time Accuracy: Knowledge updates immediately reflected in AI responses - no stale data lag
  • Benchmark Leader: Nuclia with OpenAI embeddings achieved highest scores vs Vectara on Docmatix 1.4k dataset across answer relevance, context relevance, correctness
  • 100M Vectors: Fully ingested and optimized in ~20 minutes with sufficient worker allocation
  • REMi v2 Speed: 30x faster inference than original Mistral-based implementation (Llama 3.2-3B based)
  • Four-Index Hybrid Search: Document Index (property filtering), Full Text (keyword/fuzzy), Vector/Chunk (semantic), Knowledge Graph (entity relationships)
  • Dynamic Sharding: Automatic shard creation as vector counts grow with index node replication for fault tolerance
  • Fast Deployment: 2-hour initial ingestion, 48-hour full deployment timeline
  • ACID Compliance: TiKV key-value store (Tier 2) manages resource metadata with transaction guarantees
  • Three-Tier Storage: Tier 3 (S3/GCS blobs), Tier 2 (TiKV metadata), Tier 1 (sharded indexes)
  • Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching.
  • Independent tests rate median answer accuracy at 5/5—outpacing many alternatives. Benchmark Results
  • Always cites sources so users can verify facts on the spot.
  • Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Customization & Flexibility
  • Real-Time Knowledge Updates: Edit Guru Cards anytime via web UI or API - changes immediately available to AI
  • Continuous Syncing: External sources (Google Drive, Confluence, etc.) can auto-sync on schedules
  • Verification Workflows: Regular prompts to content owners ensure knowledge stays fresh and accurate
  • Agent Configuration: Custom prompt settings, intro messages, response style per agent via configuration UI
  • Permission-Based Personalization: Answers automatically tailored to user role without manual multi-bot setup
  • Draft Mode: Capture new AI-generated insights as draft Cards for human review and approval
  • Human-in-Loop: Subject-matter experts can refine AI answers and incorporate into knowledge base
  • Multi-Agent Flexibility: Create specialized agents for different departments, each with unique scope and behavior
  • No Downtime Updates: Knowledge base modifications happen live without service interruption
N/A
N/A
Pricing & Scalability
  • Self-Serve Plan: $25/user/month (annual), $30/user/month (monthly), 10-user minimum ($250/month baseline)
  • AI Usage: AI credits included with usage limits - typical for normal internal usage patterns
  • Enterprise Plan: Custom pricing with flexible usage-based model, volume discounts, overage pricing
  • Seat-Based Model: Cost scales linearly with user count - can be expensive for very large deployments
  • Predictable Scaling: Start per-seat, transition to usage-based for enterprise scale to avoid surprise costs
  • No Content Limits: No explicit cap on knowledge items or documents (can store thousands of Cards)
  • Enterprise Scalability: Supports organizations with thousands of employees and extensive knowledge bases
  • ROI Focus: Guru claims 10x+ ROI from day one through productivity gains and time savings
  • Total Cost: Includes full platform (knowledge management + AI) vs. AI-only pricing of competitors
  • Fly Tier: $700/month - 10GB/15K resources, 750MB max file, 1 Knowledge Box, cloud only, 10K tokens/month
  • Growth Tier: $1,750/month - 50GB/80K resources, 1.5GB max file, 2 Knowledge Boxes, Prompt Lab, 10K tokens/month
  • Enterprise Tier: Custom pricing - Unlimited data/file size, 11 Knowledge Boxes, hybrid/on-prem deployment, 10K tokens/month
  • Token Consumption: $0.008/token beyond 10K/month included across all tiers
  • 14-Day Free Trial: Available without disclosed credit card requirement
  • AWS Marketplace: Simplifies enterprise procurement with existing cloud spend commitments
  • Competitive Entry Point: $700/month undercuts enterprise alternatives (Drift $30K+/year, Yellow.ai similar)
  • Scaling Consideration: Token-based consumption pricing requires careful usage forecasting for budget predictability
  • Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans.
  • Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates. View Pricing
  • Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy
  • SOC 2 Type II Certified: Independently audited security controls and compliance
  • GDPR Compliant: Data protection, privacy rights, EU data residency options
  • Zero LLM Data Retention: Third-party AI models never store or train on customer data
  • Private AI Models: Enterprise option for dedicated model instance (Azure OpenAI in customer tenant)
  • Encryption: Data encrypted at rest and in transit (TLS/SSL)
  • SAML SSO: Single sign-on integration with enterprise identity providers (Okta, Azure AD, etc.)
  • SCIM Provisioning: Automated user lifecycle management and group synchronization
  • IP Whitelisting: Enterprise plan allows restricting access to approved networks
  • Permission-Aware Security: AI respects real-time access controls - users only see authorized content
  • Audit Logs: Complete activity tracking via AI Agent Center for compliance and oversight
  • Role-Based Access Control: Granular permissions for admins, authors, viewers, knowledge managers
  • SOC2 Type 2 Certified: Annual audits for enterprise security assurance
  • ISO 27001 Certified: Annually audited information security management
  • GDPR Compliant: Built-in PII anonymization automatically detects and removes personal data
  • Encryption: AES-256 at rest, TLS in transit for comprehensive data protection
  • AI Risk Classification: Low to minimal AI risk category with policy-as-code guardrails
  • Human-in-the-Loop: Validation options for critical workflows
  • Tenant Isolation: Customer data separation ensures multi-tenant security
  • Audit Logs: Standard across all pricing tiers for compliance tracking
  • API Key Management: Temporal keys and rotation for security hygiene
  • CRITICAL: CRITICAL LIMITATION: NO HIPAA certification documented - healthcare organizations processing PHI must contact sales for compliance clarification
  • Data Governance: Enterprise tier supports complete on-premise deployment for 100% data control
  • Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
  • Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private. Security Certifications
  • Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
  • Analytics Dashboard: Comprehensive stats on knowledge base usage, AI queries, user engagement
  • AI Agent Center: Detailed logs of every AI query, answer, confidence, sources cited
  • Conversation Audit Trail: Complete history for compliance, quality review, knowledge gap analysis
  • Deflection Metrics: Track AI-answered vs. human-escalated queries, time saved statistics
  • Trend Analysis: Identify frequently asked questions, knowledge gaps, content improvement opportunities
  • Usage Alerts: Enterprise governance with proactive alerts when AI credit thresholds approached
  • BI Integration: API access enables piping analytics to Looker, Tableau, or custom dashboards
  • System Status: Public status dashboard (status.getguru.com) for uptime and performance monitoring
  • Real-Time Monitoring: Track agent performance, query volumes, response quality in real-time
  • REMi Real-Time Dashboard: Answer relevance, context relevance, groundedness, correctness (0-5 scale)
  • 7-Day Rolling Averages: Performance evolution graphs spanning 24 hours to 30 days
  • Health Displays: Quality metrics shown in real-time for immediate visibility
  • Four Quality Dimensions: Answer Relevance (query alignment), Context Relevance (passage quality), Groundedness (source derivation), Answer Correctness (ground truth alignment)
  • REMi v2 Performance: 30x faster inference (Llama 3.2-3B) vs original Mistral implementation
  • Benchmark Validation: Tested against Vectara on Docmatix 1.4k dataset with highest scores
  • Audit Logs: Standard across all tiers for compliance and security tracking
  • MISSING FEATURE: Proactive alerting not documented (monitoring exists, automated alerts unclear)
  • Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status.
  • Lets you export logs and metrics via API to plug into third-party monitoring or BI tools. Analytics API
  • Provides detailed insights for troubleshooting and ongoing optimization.
Support & Ecosystem
  • Multi-Channel Support: Help Center with guides, Community forum, live chat for paying customers
  • Enterprise Support: Dedicated Customer Success Manager, priority support, SLA guarantees
  • Guru University: Training programs, workshops, office hours, certification courses
  • Active Community: User forum for peer learning, knowledge sharing, best practice discussions
  • Developer Resources: Extensive API docs, Python SDK, integration examples, developer blog
  • Partner Ecosystem: Integration partners (Zapier, Workato), implementation consultants, certified experts
  • Guru Champions Program: Internal advocates drive adoption and share success stories
  • Exceptional Support Reputation: Praised in G2 reviews for responsive, effective assistance
  • Content Library: Knowledge base guides, webinars, case studies, RAG education materials
  • Dual Documentation Portals: docs.rag.progress.cloud (primary) + legacy docs.nuclia.dev (fragmentation concern)
  • RAG Cookbook: Comprehensive downloadable guide for developers
  • SDK Ecosystem: Python (~21K weekly downloads) + JavaScript/TypeScript with active developer usage
  • 14-Day Free Trial: Hands-on evaluation without credit card requirement
  • Progress Enterprise Support: Backed by 2,000+ employee parent company infrastructure
  • AWS Marketplace: Available November 2025 for streamlined enterprise procurement
  • Open-Source Community: NucliaDB 710+ GitHub stars with AGPLv3 license transparency
  • API-First Support: Comprehensive REST API documentation with regional endpoints
  • Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast. Developer Docs
  • Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs. Enterprise Solutions
  • Benefits from an active user community plus integrations through Zapier and GitHub resources.
No- Code Interface & Usability
  • Business User Focus: Designed for non-technical knowledge managers, content creators, department leads
  • Intuitive Card Editor: Wiki-like interface (similar to Notion) for creating and editing knowledge articles
  • Agent Configuration UI: "Manage > Knowledge Agents" menu with guided setup - no coding required
  • Point-and-Click Integrations: OAuth connections to Google Drive, Confluence, Slack via simple clicks
  • Organizational Tools: Tags, folders, Collections for systematic knowledge organization
  • Verification Workflows: Built-in prompts for regular content review - ensures accuracy without admin overhead
  • Role-Based Collaboration: Content experts manage knowledge, admins handle setup, users consume - clear separation
  • In-App Guidance: Tooltips, help articles, video tutorials (YouTube) guide users through processes
  • Mobile-Friendly: iOS and Android apps provide full knowledge management on-the-go
  • No Developer Required: Business users can deploy and maintain AI agents independently after initial setup
  • Target Users: Non-technical teams (marketing, HR, legal, customer support) with zero coding required
  • Visual Dashboard: Create Knowledge Box, upload documents, deploy search widget in single session
  • Point-and-Click Widget Editor: Configure suggestions, filters, metadata, thumbnails, answer modes visually
  • Pre-Built Ingestion Agents (Beta): Automated workflows for labeling, summarization, graph extraction, Q&A generation, content safety
  • Prompt Lab: Visual interface for side-by-side LLM testing with actual data
  • Role-Based Access Control: Visual permission management separating Account and Knowledge Box concerns
  • Rapid Deployment: Progress explicitly markets minutes-to-production capability for business users
  • Shadow DOM Architecture: Advanced users can apply CSS styling via cssPath attribute for customization
  • Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance.
  • Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing. User Experience Review
  • Uses role-based access so business users and devs can collaborate smoothly.
Permission- Aware A I
  • Real-Time Access Control: AI respects user permissions from connected systems (SharePoint, Confluence, etc.)
  • Role-Based Answers: Manager asking same question as employee gets different answer based on accessible content
  • Prevents Information Leakage: Confidential knowledge never used in answers for unauthorized users
  • No Manual Segmentation: Don't need separate bots per role - single agent adapts automatically
  • Cross-System Permissions: Honors permissions from external sources (Google Drive, Notion, Salesforce)
  • Audit Compliance: Every answer logged with user identity and sources accessed for oversight
  • Dynamic Scoping: As user permissions change (promotion, role change), AI answers update immediately
  • Enterprise Trust: Critical for regulated industries (finance, healthcare, legal) with strict information controls
  • Competitive Advantage: Most RAG platforms don't enforce real-time permission awareness - Guru's unique strength
N/A
N/A
Knowledge Management Foundation
  • Single Source of Truth: Centralized, verified company knowledge accessible across all systems
  • Expert Ownership: Every Guru Card has designated owner responsible for accuracy and updates
  • Verification System: Regular intervals prompt owners to review content - ensures freshness
  • Version Control: Track changes to knowledge over time, restore previous versions if needed
  • Trust Layer: AI answers only as accurate as underlying knowledge - verification ensures high quality
  • Knowledge Gaps: Analytics identify missing content based on unanswered questions - drive content creation
  • Collaborative Creation: Draft mode lets users capture AI insights for expert review and approval
  • Content Lifecycle: From creation to verification to retirement - complete knowledge management workflow
  • Foundation Strength: 10+ years of enterprise knowledge management expertise powers AI capabilities
N/A
N/A
M C P Server Integration
  • Universal AI Connector: Model Context Protocol enables any AI tool to access Guru knowledge
  • Supported Tools: ChatGPT, Claude, GitHub Copilot, custom AI agents, future MCP-compatible tools
  • No RAG Rebuild: Connect external AI to Guru instead of building separate retrieval pipeline
  • Permission Preservation: MCP ensures external tools respect Guru's permission-aware knowledge layer
  • Citation Transparency: AI answers via MCP include Guru's source citations and references
  • Developer Efficiency: One integration vs. custom RAG for each AI tool - massive time savings
  • Future-Proof: As new AI tools emerge, MCP compatibility provides instant Guru integration
  • Enterprise Workflow: Use best-in-class AI tools while maintaining centralized knowledge governance
  • Technical Implementation: GitHub repository with setup guides for connecting MCP-compatible AI systems
N/A
N/A
R A G-as-a- Service Assessment
  • Platform Type: TRUE RAG PLATFORM (Enterprise Knowledge Management + AI)
  • Core Architecture: Retrieval-Augmented Generation with verified knowledge base foundation
  • Service Model: Cloud SaaS with managed infrastructure and AI endpoints
  • Retrieval Quality: Multiple search techniques, permission filtering, expert-verified content ensures accuracy
  • Knowledge Processing: Sophisticated indexing, real-time updates, cross-source synthesis capabilities
  • LLM Integration: Abstracted model with zero data retention, private model options for enterprise
  • Citation Support: Industry-leading citation precision (slide 8 of deck, specific Card section)
  • Enterprise Readiness: SOC 2, GDPR, SAML SSO, audit logs, permission-aware security
  • Target Users: Enterprise teams (IT, HR, Sales, Support), large organizations (1,000+ employees)
  • Key Differentiator: Permission-aware AI + verified knowledge foundation = trusted enterprise answers
  • Platform Type: TRUE RAG-AS-A-SERVICE PLATFORM - Core mission is retrieval-augmented generation backend with developer-first API access
  • Core Focus: Semantic search and generative Q&A across knowledge bases with transparent NucliaDB architecture
  • RAG Backend Design: Fully managed RAG infrastructure with embeddable widgets (NOT closed conversational marketing like Drift/Yellow.ai)
  • Programmatic Access: Complete REST API + dual SDKs (Python/JavaScript) for full knowledge base management
  • LLM Flexibility: 7 provider options switchable without architectural changes (Anthropic, OpenAI, Google, Meta, Cohere, Azure, Nuclia)
  • Open-Source Transparency: NucliaDB foundation (710+ GitHub stars) provides visibility into retrieval mechanisms vs black-box platforms (Lindy.ai)
  • Comparison Alignment: Direct architectural comparison to CustomGPT.ai is valid - both are RAG-as-a-Service platforms with API-first design
  • Use Case Fit: Organizations prioritizing knowledge retrieval, semantic search, and generative Q&A over conversational marketing/sales engagement
  • Platform Type: TRUE RAG-AS-A-SERVICE PLATFORM - all-in-one managed solution combining developer APIs with no-code deployment capabilities
  • Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints
  • API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat API Documentation
  • Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration
  • No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code
  • Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform)
  • RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses Benchmark Details
  • Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT
  • Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges
  • Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch
  • Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Competitive Positioning
  • Primary Advantage: Permission-aware AI with real-time access control - unique in market
  • Knowledge Foundation: 10+ years enterprise KM expertise ensures verified, trustworthy knowledge base
  • Enterprise Focus: Built for large organizations with complex permission structures and compliance needs
  • Integration Breadth: MCP Server enables universal AI tool connectivity without custom RAG
  • Primary Challenge: Per-user pricing can be expensive for very large deployments vs. query-based models
  • Internal Focus: Optimized for internal knowledge vs. external customer-facing chatbots
  • Market Position: Premium enterprise knowledge platform with AI vs. pure-play RAG chatbot services
  • Use Case Fit: Ideal for enterprises prioritizing trust, governance, and internal knowledge access
  • Proven Scale: Handles thousands of users and millions of knowledge items in production deployments
  • Market Position: Enterprise RAG-as-a-Service with genuine no-code accessibility + developer-first API design (dual-track appeal)
  • Pricing Advantage: $700/month entry undercuts enterprise competitors (Drift $30K+/year, Yellow.ai similar, CustomGPT varies)
  • REMi Differentiator: Proprietary continuous quality monitoring addresses hallucination problem - capability absent from most competitors
  • Benchmark Leadership: Achieved highest scores vs Vectara on Docmatix 1.4k dataset (answer relevance, context relevance, correctness)
  • Open-Source Trust: NucliaDB transparency (710+ GitHub stars) vs black-box competitors (Lindy.ai, Drift, Yellow.ai)
  • vs. CustomGPT: Similar RAG-as-a-Service category, Progress emphasizes REMi quality monitoring + open-source foundation differentiation
  • vs. Drift/Yellow.ai: TRUE RAG platform vs conversational marketing/sales engagement platforms (fundamentally different categories)
  • vs. Lindy.ai: Full API/SDK access vs NO public API (Progress developer-friendly, Lindy no-code only)
  • Integration Gaps: NO native messaging channels (Slack/WhatsApp/Teams) vs omnichannel competitors - requires custom development
  • HIPAA Gap: No documented certification creates healthcare trust gap vs compliant competitors (Drift has HIPAA)
  • Recent Acquisition Risk: June 2025 Progress purchase means platform still maturing under new ownership with potential direction changes
  • Progress Ecosystem Advantage: Integration with OpenEdge, Sitefinity CMS provides distribution channels unavailable to standalone competitors
  • Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment
  • Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts)
  • Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain
  • Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges
  • Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform
  • Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
A I Models
  • Abstracted Model Architecture: LLM selection handled internally - likely OpenAI GPT (GPT-3.5/GPT-4) by default for standard operations
  • No User-Facing Selection: No UI toggle for model choice - platform optimized for trust and simplicity over technical control
  • LLM-Agnostic Design: Architecture designed to work with different models providing enterprise flexibility for future model changes
  • Private Model Options: Enterprise can opt for dedicated private AI model instance (e.g., Azure OpenAI in customer tenant) for data sovereignty
  • Zero Data Retention: Third-party LLM endpoints configured to never store or train on customer data - critical privacy guarantee
  • Automatic Optimization: System may use different models for simple FAQ responses vs. complex Research Mode queries for cost/quality balance
  • Security-First Selection: Model choice prioritizes compliance, data sovereignty, and zero leakage guarantees over raw performance metrics
  • Quality Assurance Layer: All answers cited and permission-aware regardless of underlying model - trust layer above LLM capabilities
  • Anthropic Models: Claude 3.7, Claude 3.5 Sonnet v2 for safety-focused, high-quality generation
  • OpenAI Models: ChatGPT 4o, 4o mini for industry-leading language capabilities
  • Google Models: Gemini Flash 2.5, PaLM2 for multimodal and search-optimized tasks
  • Meta Models: Llama 3.2 for open-source flexibility and customization
  • Microsoft/Azure: Mistral Large 2 for enterprise deployments with Azure integration
  • Cohere Models: Command-R suite for retrieval-optimized generation
  • Nuclia Private GenAI: 100% data isolation mode for maximum security without third-party LLM exposure
  • Model Switching: Change providers without architectural changes via Prompt Lab for side-by-side testing
  • Embedding Flexibility: Configurable per Knowledge Box (Nuclia multilingual default + OpenAI embeddings)
  • Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs
  • Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request Model Selection Details
  • Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers
  • Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users
  • Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
R A G Capabilities
  • RAG Foundation: Retrieval-Augmented Generation grounds all answers in verified company knowledge with automatic citations
  • Multiple Retrieval Techniques: Several search algorithms ensure best information found for each query type and context
  • Synthesis Capability: Combines insights from multiple documents for comprehensive answers to complex questions
  • Automatic Citations: Every answer includes exact source references (specific slide, Card, document section) for verification
  • Permission Filtering: Retrieval only uses content user is authorized to see - prevents context contamination and information leakage
  • Verified Knowledge Base: Expert verification workflows ensure underlying data is reliable, current, and trustworthy
  • Real-Time Accuracy: Knowledge updates immediately reflected in AI responses - no stale data lag or cache delays
  • Hallucination Reduction: RAG architecture significantly reduces AI hallucinations vs. LLM-only approaches through knowledge grounding
  • Confidence Handling: When unsure, agent indicates lack of knowledge rather than guessing wrong answer - transparency over completeness
  • Agentic RAG Engine: Retrieval agents autonomously select optimal strategies based on query characteristics
  • Four-Index Hybrid Search: Document (property filtering), Full Text (keyword/fuzzy), Vector/Chunk (semantic), Knowledge Graph (entity relationships)
  • 30+ RAG Parameters: Custom chunking strategies, context size configuration, hybrid search weighting for fine-tuned optimization
  • REMi v2 Quality Monitoring: Continuous evaluation across Answer Relevance, Context Relevance, Groundedness, Correctness (30x faster inference)
  • Benchmark Leadership: Highest scores vs Vectara on Docmatix 1.4k dataset (answer relevance, context relevance, correctness)
  • Pre-Built Ingestion Agents (Beta): Labeler (auto-classification), Generator (summaries/JSON), Graph Extraction (entities/relationships), Q&A Generator, Content Safety
  • Multimodal Processing: OCR for scanned documents/images, automatic speech-to-text for audio (MP3, WAV, AIFF), video transcript extraction
  • 60+ Document Formats: PDF, Word, Excel, PowerPoint, plain text, email formats with automatic parsing
  • Open-Source Foundation: NucliaDB (710+ GitHub stars, AGPLv3) provides transparency into retrieval mechanisms vs black-box platforms
  • Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks RAG Performance
  • Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content Benchmark Details
  • Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification
  • Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times
  • Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words
  • Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management
  • Source verification: Always cites sources so users can verify facts on the spot
Use Cases
  • Enterprise Internal Support: IT, HR, Sales, Support, Marketing, Product teams accessing verified company knowledge through AI agents
  • Knowledge Base Unification: Single source of truth aggregating content from SharePoint, Confluence, Notion, Salesforce, Google Drive
  • Employee Onboarding: New hires access role-appropriate information automatically filtered by permission level and department
  • Sales Enablement: Real-time access to product information, competitive intelligence, pricing, and deal strategies during customer conversations
  • Regulatory Compliance: Financial services, healthcare, legal industries requiring strict information controls and audit trails
  • Research Mode Queries: Complex multi-source research generating structured reports with detailed analysis and citations
  • Cross-System Integration: MCP Server enables ChatGPT, Claude, GitHub Copilot to access Guru knowledge with preserved permissions
  • Knowledge Gap Identification: Analytics identify missing content based on unanswered questions to drive content creation priorities
  • Large Organization Scale: Supports organizations with thousands of employees and millions of knowledge items in production
  • Enterprise Knowledge Management: Non-technical teams (marketing, HR, legal, customer support) deploying knowledge bases in minutes
  • Healthcare & Pharma: Althaia Hospitals medical protocol search for 5,000+ healthcare professionals with HIPAA-grade security needs
  • Financial Services: BrokerChooser replaced keyword search with generative AI for significant conversion increases
  • Education: Columbia Business School and Barry University for academic knowledge discovery and institutional knowledge management
  • Engineering & Research: NAFEMS knowledge discovery across thousands of technical publications for international membership
  • Trade Organizations: CCOO (Spain's largest union) serving 1M+ members with knowledge retrieval platform
  • Intelligent Document Processing: Automatic document classification, routing, extraction, risk identification, and summary generation
  • Dynamic Knowledge Management: Continuous updates, gap identification, and automatic documentation generation
  • Developer RAG Backend: API-first infrastructure for building custom AI applications with Prompt Lab experimentation
  • Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations
  • Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats
  • Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps
  • Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing
  • Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts)
  • Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data)
  • Financial services: Product guides, compliance documentation, customer education with GDPR compliance
  • E-commerce: Product recommendations, order assistance, customer inquiries with API integration to 5,000+ apps via Zapier
  • SaaS onboarding: User guides, feature explanations, troubleshooting with multi-agent support for different teams
Security & Compliance
  • SOC 2 Type II Certified: Independently audited security controls and compliance validated through third-party assessment
  • GDPR Compliant: Data protection, privacy rights, EU data residency options for European customers
  • Zero LLM Data Retention: Third-party AI models never store or train on customer data - contractual guarantee with providers
  • Private AI Models: Enterprise option for dedicated model instance (Azure OpenAI in customer tenant) for maximum data sovereignty
  • Encryption Standards: Data encrypted at rest and in transit (TLS/SSL) protecting information throughout lifecycle
  • SAML SSO: Single sign-on integration with enterprise identity providers (Okta, Azure AD, Google Workspace, OneLogin)
  • SCIM Provisioning: Automated user lifecycle management and group synchronization for enterprise IT workflows
  • IP Whitelisting: Enterprise plan allows restricting access to approved networks for enhanced security control
  • Permission-Aware Security: AI respects real-time access controls - users only see authorized content preventing leakage
  • Audit Logs: Complete activity tracking via AI Agent Center for compliance and oversight requirements
  • Role-Based Access Control: Granular permissions for admins, authors, viewers, knowledge managers with separation of duties
  • SOC2 Type 2: Annually audited for enterprise security assurance
  • ISO 27001: Annually audited information security management certification
  • GDPR Compliant: Built-in PII anonymization automatically detects and removes personal data
  • Encryption: AES-256 at rest, TLS in transit for comprehensive data protection
  • AI Risk Classification: Low to minimal AI risk category with policy-as-code guardrails
  • Human-in-the-Loop: Validation options for critical workflows requiring human oversight
  • Tenant Isolation: Customer data separation ensures multi-tenant security with isolated Knowledge Boxes
  • Audit Logs: Standard across all pricing tiers for compliance tracking and security monitoring
  • API Key Management: Temporal keys and rotation for security hygiene
  • CRITICAL LIMITATION: NO HIPAA certification documented - healthcare organizations processing PHI must contact sales for compliance clarification
  • Data Governance: Enterprise tier supports complete on-premise deployment for 100% data control and sovereignty
  • Encryption: SSL/TLS for data in transit, 256-bit AES encryption for data at rest
  • SOC 2 Type II certification: Industry-leading security standards with regular third-party audits Security Certifications
  • GDPR compliance: Full compliance with European data protection regulations, ensuring data privacy and user rights
  • Access controls: Role-based access control (RBAC), two-factor authentication (2FA), SSO integration for enterprise security
  • Data isolation: Customer data stays isolated and private - platform never trains on user data
  • Domain allowlisting: Ensures chatbot appears only on approved sites for security and brand protection
  • Secure deployments: ChatGPT Plugin support for private use cases with controlled access
Pricing & Plans
  • Self-Serve Plan: $25/user/month (annual billing), $30/user/month (monthly billing) with 10-user minimum ($250/month baseline)
  • AI Usage Credits: AI credits included with usage limits appropriate for typical internal usage patterns - not per-query charges
  • Enterprise Plan: Custom pricing with flexible usage-based model, volume discounts, overage pricing for scale
  • Seat-Based Model: Cost scales linearly with user count - can be expensive for very large deployments vs query-based pricing
  • Predictable Scaling: Start with per-seat pricing, transition to usage-based for enterprise scale to avoid surprise costs
  • No Content Limits: No explicit cap on knowledge items or documents - can store thousands of Cards without additional fees
  • Enterprise Scalability: Supports organizations with thousands of employees and extensive knowledge bases in production
  • ROI Focus: Guru claims 10x+ ROI from day one through productivity gains and time savings for knowledge workers
  • Total Cost Coverage: Includes full platform (knowledge management + AI) vs. AI-only pricing of pure RAG competitors
  • Credit System: A credit consumed whenever Guru's AI executes specific unit of work on behalf of users
  • Fly Tier: $700/month - 10GB/15K resources, 750MB max file, 1 Knowledge Box, cloud only, 10K tokens/month included
  • Growth Tier: $1,750/month - 50GB/80K resources, 1.5GB max file, 2 Knowledge Boxes, Prompt Lab access, 10K tokens/month
  • Enterprise Tier: Custom pricing - Unlimited data/file size, 11 Knowledge Boxes, hybrid/on-prem deployment, 10K tokens/month
  • Token Consumption: $0.008/token beyond 10K/month included across all tiers for usage-based scaling
  • 14-Day Free Trial: Available without disclosed credit card requirement for hands-on evaluation
  • AWS Marketplace: Available November 2025 for simplified enterprise procurement with existing cloud spend commitments
  • Competitive Entry Point: $700/month undercuts enterprise alternatives (Drift $30K+/year, Yellow.ai similar, LiveChat per-agent scaling)
  • Scaling Consideration: Token-based consumption pricing requires careful usage forecasting for budget predictability beyond included tier
  • Best Value For: Organizations wanting to control costs through usage optimization vs fixed seat-based or per-project pricing models
  • Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security View Pricing
  • Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization
  • Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs Enterprise Solutions
  • 7-Day Free Trial: Full access to Standard features without charges - available to all users
  • Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium)
  • Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans)
  • Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
  • Multi-Channel Support: Help Center with comprehensive guides, Community forum for peer learning, live chat for paying customers
  • Enterprise Support: Dedicated Customer Success Manager, priority support queues, SLA guarantees for response times
  • Guru University: Training programs, workshops, office hours, certification courses for user skill development
  • Active Community: User forum for peer learning, knowledge sharing, best practice discussions across industries
  • Developer Resources: Extensive API docs at developer.getguru.com, Python SDK, integration examples, developer blog
  • Partner Ecosystem: Integration partners (Zapier, Workato, Prismatic), implementation consultants, certified Guru experts
  • Guru Champions Program: Internal advocates within customer organizations drive adoption and share success stories
  • Exceptional Support Reputation: Praised in G2 reviews for responsive, effective assistance and customer success focus
  • Content Library: Knowledge base guides, webinars, case studies, RAG education materials for self-service learning
  • MCP Integration Support: GitHub repository with setup guides for connecting MCP-compatible AI systems to Guru
  • Dual Documentation Portals: docs.rag.progress.cloud (primary) + legacy docs.nuclia.dev (fragmentation concern during transition)
  • RAG Cookbook: Comprehensive downloadable guide for developers with implementation patterns and best practices
  • SDK Ecosystem: Python (~21K weekly downloads via pip install nuclia) + JavaScript/TypeScript (@nuclia/core on NPM)
  • REST API: Regional endpoints https://{region}.rag.progress.cloud/api/v1/ with complete programmatic control
  • Key Endpoints: /ask (generative answers), /find (semantic search), /upload (ingestion), /remi (quality evaluation)
  • 14-Day Free Trial: Hands-on evaluation platform without credit card requirement
  • Progress Enterprise Support: Backed by 2,000+ employee parent company infrastructure with dedicated account management
  • Open-Source Community: NucliaDB 710+ GitHub stars with AGPLv3 license transparency and community contributions
  • Integration Examples: WordPress, Strapi plugins, Pipedream official app, Zapier API-compatible, Chrome extension for web indexing
  • Progress Ecosystem: OpenEdge database connector, Sitefinity CMS integration ("first Generative CMS") for distribution advantages
  • Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding Developer Docs
  • Email and in-app support: Quick support via email and in-app chat for all users
  • Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs
  • Code samples: Cookbooks, step-by-step guides, and examples for every skill level API Documentation
  • Open-source resources: Python SDK (customgpt-client), Postman collections, GitHub integrations Open-Source SDK
  • Active community: User community plus 5,000+ app integrations through Zapier ecosystem
  • Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Customization & Flexibility ( Behavior & Knowledge)
  • Real-Time Knowledge Updates: Always available manual retraining across all plans through browser extension and integration sync triggers
  • Automatic Syncing: Continuous synchronization with integrated systems (Confluence, SharePoint, Notion, Google Drive, Salesforce, Zendesk) for real-time knowledge base updates
  • Custom Knowledge Agents: Each agent has unique name, avatar, scope, and purpose (IT, HR, Sales, Marketing, Product) with prompt configuration to shape behavior and response style
  • Department Specialization: Create specialized agents for different teams using relevant knowledge Collections with permission scoping automatically respecting user roles
  • Permission-Aware Responses: Answers automatically tailored to user's role and access permissions - managers see more detail than general employees
  • Content Assist Customization: Create custom assist actions for different user groups with admin controls to toggle specific actions on or off ensuring alignment across teams
  • Verification Workflows: Collaborative knowledge management where Card Owners receive verification reminders, experts can trigger out-of-cycle reviews, and verification intervals are configurable
  • Knowledge Attribution: Every Card has designated Owner (subject-matter expert), last verified timestamp, trusted status indicator, audit trail of changes
  • LIMITATION: No programmatic personality management - agent configuration dashboard-only, cannot modify per-user or via API (no /agents endpoint for creating/updating agents)
  • LIMITATION: Model Abstraction - no user control over LLM selection optimized for simplicity but reduces flexibility for technical users
  • 30+ RAG Optimization Parameters: Fine-grained control over retrieval behavior
  • Custom Chunking Strategies: Configurable text segmentation for optimal context windows
  • Context Size Configuration: Adjust context sent to LLMs based on use case
  • Hybrid Search Weighting: Balance keyword vs semantic search relevance
  • Retrieval Agent Autonomy: Automatically select optimal strategies per query characteristics
  • Embedding Model Flexibility: Switch per Knowledge Box (Nuclia multilingual + OpenAI options)
  • Prompt Lab Experimentation: Test configurations with actual data before production deployment
  • LLM Provider Switching: Change models without architectural changes (7 providers supported)
  • Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current.
  • Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus. Learn How to Update Sources
  • Supports multiple agents per account, so different teams can have their own bots.
  • Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Additional Considerations
  • Content Maintenance Requirements: Platform value depends on organizational discipline in refreshing knowledge base regularly - requires disciplined maintenance where teams must actively verify cards and keep ownership clear
  • Search Limitations: Guru's search struggles when knowledge isn't perfectly documented and tagged within its system of Cards - if answer exists only in Slack thread or past conversation, Guru's search won't find it leading to "no results found" dead ends
  • Enterprise-Specific Limitations: Version history for published cards but not for drafts making collaborative edits hard to track or revert; editor cannot create step-by-step guides or decision trees requiring employees to scan long text
  • UI Performance Concerns: UI becomes laggy when Knowledge base and team grows - performance degradation at scale
  • Initial Setup Complexity: New users may find UI slightly complex particularly when managing large collections or reorganizing knowledge across departments - initial setup defining collections, permissions, and verification rules can take time especially for companies with many departments
  • Pricing Consideration: Per-user seat-based model can be expensive for very large deployments (1,000+ users) vs query-based alternatives - pricing structure requires consideration especially for smaller businesses
  • Limited Customization: User interface while generally user-friendly may lack flexibility in terms of customization potentially limiting company's ability to fully brand experience or tailor to specific visual preferences
  • Integration Gaps: While Guru integrates with popular tools like Slack users desire more native integrations with other platforms to further streamline workflows and data synchronization
  • No Built-In Customer Portal: Guru offers no built-in portal for customers - publishing content online needs extra API work
  • Internal Focus Trade-off: Platform designed for internal teams - NOT optimized for external customer support chatbots, public-facing agents, or lead capture capabilities
  • Best For: Companies prioritizing internal knowledge management with verified content workflows and distributed expertise capture
  • NOT Ideal For: External customer support chatbots, public-facing conversational AI, organizations without verification workflow culture, teams needing deep LLM customization
  • Recent Acquisition (June 2025): Progress Software acquired Nuclia for $50M - platform transitioning under new ownership with potential strategic direction changes
  • Genuine No-Code + Developer Appeal: Dual-track value proposition - non-technical teams use dashboard, developers leverage API/SDKs for custom builds
  • REMi Quality Differentiator: Proprietary continuous evaluation model (30x faster in v2) addresses hallucination problem absent from most RAG competitors
  • Open-Source Trust Factor: NucliaDB (710+ GitHub stars, AGPLv3) provides code transparency vs black-box platforms - security audits possible
  • Multimodal Strength: OCR for images, speech-to-text for audio/video creates comprehensive searchable corpus beyond text-only competitors
  • Enterprise RAG Focus: Platform optimized for knowledge retrieval and semantic search - not conversational marketing/sales engagement like Drift/Yellow.ai
  • Progress Ecosystem Integration: OpenEdge database connector, Sitefinity CMS integration provides distribution channels unavailable to standalone platforms
  • Documentation Fragmentation: Dual portals (docs.rag.progress.cloud + legacy docs.nuclia.dev) during transition may cause developer confusion
  • Competitive Pricing Entry: $700/month Fly tier undercuts enterprise RAG alternatives while providing genuine capabilities vs limited free tiers
  • Best For: Organizations wanting model flexibility (7 providers), multimodal indexing, open-source transparency, and developer API access without managing infrastructure
  • Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
  • Gets you to value quickly: launch a functional AI assistant in minutes.
  • Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
  • Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Limitations & Considerations
  • Per-User Pricing Challenges: Seat-based model can be expensive for very large deployments (1,000+ users) vs query-based alternatives
  • Internal Focus Trade-off: Optimized for internal knowledge access vs external customer-facing chatbot capabilities (lead capture not core)
  • Limited White-Labeling: Guru branding typically present in web app and extension - internal tool focus vs external customer experiences
  • English-Only UI: Content supports all languages with translation to 50+, but user interface remains English-only for administrators
  • Model Abstraction: No user control over LLM selection - optimized for simplicity but reduces flexibility for technical users
  • AI Credit Management: Usage limits require monitoring and management - organizations may need to purchase additional credits
  • Enterprise Requirements: Advanced features (IP whitelisting, SSO, SCIM, private models) require Enterprise plan with custom pricing
  • Setup Complexity: Initial configuration of integrations, permissions, and verification workflows requires thoughtful planning
  • Change Management: Successful deployment requires organizational adoption of verification workflows and knowledge ownership culture
  • External Use Limitations: Platform designed for internal teams - not optimized for external customer support chatbots or public-facing agents
  • NO HIPAA Certification Documented: Healthcare organizations processing PHI must contact sales - major compliance gap vs competitors with documented HIPAA
  • NO Native Messaging Channels: No Slack, WhatsApp, Telegram, or Microsoft Teams integrations - requires custom API-based development
  • Documentation Fragmentation: Dual portals (docs.rag.progress.cloud + docs.nuclia.dev) during Progress acquisition transition may cause confusion
  • Recent Acquisition Risk: June 2025 Progress purchase means platform still maturing under new ownership with potential direction changes
  • Scalability Concerns: Multiple problems limit scalability - hard to scale nodes up/down, write operations affect concurrent search performance
  • NO Dropbox Integration: Missing Dropbox connector vs competitors - limits cloud storage sync options
  • NO Notion Integration: Missing Notion connector - gap for knowledge management workflows
  • NO YouTube Transcript Extraction: Not explicitly documented vs competitors with video indexing features
  • Token-Based Billing Complexity: $0.008/token beyond 10K/month requires careful usage forecasting vs predictable seat-based pricing
  • Missing Features: NO lead capture, NO human handoff/escalation workflows, NO proactive alerting (monitoring exists, alerting undocumented)
  • Learning Curve: 30+ RAG parameters and Prompt Lab may feel technical for non-developer teams despite no-code dashboard
  • Best For: Development teams and technical users - powerful for experts but may overwhelm business users wanting simple deployment
  • Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain
  • Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases
  • Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models)
  • Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models
  • Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed
  • Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains
  • Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory)
  • Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
Core Agent Features
N/A
  • Retrieval Agents: Autonomously select optimal retrieval strategies based on query characteristics
  • Pre-Built Ingestion Agents (Beta): Labeler (auto-classification), Generator (summaries/JSON/extraction), Graph Extraction (entities/relationships), Q&A Generator (automatic FAQ), Content Safety (inappropriate content flagging)
  • Web Components: <nuclia-search-bar> and <nuclia-chat> for website embedding
  • Widget Configuration: Point-and-click for suggestions, filters, metadata display, thumbnails, answer-only modes
  • CSS Customization: Shadow DOM architecture with cssPath attribute for advanced styling
  • White-Labeling: Full OEM deployment support via API-first design
  • MISSING FEATURES: NO lead capture, NO human handoff/escalation workflows, NO proactive alerting (monitoring exists, alerting undocumented)
  • Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge
  • Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain
  • Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management
  • Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions View Agent Documentation
  • Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows
  • Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base
  • Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
R E Mi Evaluation Model ( Core Differentiator)
N/A
  • Proprietary Investment: Significant R&D differentiator addressing hallucination problem - absent from most competitors
  • REMi v2 (Current): Llama-REMi v1 based on Llama 3.2-3B with 30x faster inference vs original Mistral implementation
  • Continuous Quality Monitoring: Evaluates EVERY interaction across four dimensions (0-5 scale)
  • Answer Relevance: Measures how directly response addresses the query
  • Context Relevance: Assesses quality of retrieved passages relative to question
  • Groundedness: Evaluates degree to which answers derive from source context (hallucination detection)
  • Answer Correctness: Alignment with ground truth when available (optional dimension)
  • Benchmark Validation: Nuclia with OpenAI embeddings achieved highest scores vs Vectara on Docmatix 1.4k dataset across answer relevance, context relevance, correctness
  • Real-Time Visibility: Dashboard health displays with 7-day rolling averages and performance graphs (24h to 30d)
  • Competitive Advantage: Most RAG platforms lack continuous quality evaluation - Progress makes this core differentiator
N/A
Open- Source Nuclia D B Foundation
N/A
  • GitHub Presence: 710+ stars, AGPLv3 license provides full transparency into core retrieval mechanisms
  • Technology Stack: Python and Rust implementation for performance and reliability
  • Managed Infrastructure: Progress removes operational burden while maintaining technical transparency
  • Three-Tier Storage: Tier 3 (S3/GCS blob storage), Tier 2 (TiKV key-value with ACID), Tier 1 (sharded indexes)
  • Four Index Types: Document Index (property filtering), Full Text (keyword/fuzzy search), Chunk/Vector (semantic similarity), Knowledge Graph (entity relationships)
  • Dynamic Sharding: Automatic shard creation as vectors grow with index node replication for fault tolerance
  • Embedding Flexibility: Switchable per Knowledge Box (Nuclia multilingual + OpenAI options)
  • 100M Vector Performance: Full ingestion and optimization in ~20 minutes with sufficient worker allocation
  • Developer Trust: Open-source foundation allows code inspection and contribution vs black-box competitors
N/A
Multi- Lingual Support
N/A
  • Nuclia Multilingual Embedding Model: Default model supporting multiple languages out-of-box
  • 60+ Document Format Processing: Multi-language content across PDF, Word, Excel, PPT, text, email
  • Automatic Transcription: Multi-language speech-to-text for audio/video content
  • Configurable Embeddings: Per Knowledge Box language optimization
  • LLM Provider Flexibility: 7 providers with varying multilingual capabilities (Claude, GPT, Gemini, Llama, etc.)
  • Global Customer Base: Deployed across Spain, US, international markets indicating production multilingual usage
N/A
Deployment & Infrastructure
N/A
  • Fully Managed Cloud: EU (primary) and US data centers with regional API routing (https://{region}.rag.progress.cloud/api/v1/)
  • Hybrid Deployment: Cloud processing with on-premise NucliaDB storage for data sovereignty requirements
  • Complete On-Premise: Enterprise tier supports 100% on-premise deployment for maximum data governance
  • AWS Marketplace: Available November 2025 for streamlined enterprise procurement with existing cloud spend
  • Three-Tier Architecture: S3/GCS blob storage (Tier 3), TiKV metadata (Tier 2), sharded indexes (Tier 1)
  • Dynamic Scaling: Automatic shard creation as vector counts grow with index node replication
  • Web Component Embedding: <nuclia-search-bar> and <nuclia-chat> for website integration
  • Multi-Region Support: Regional data residency options (EU/US) for compliance requirements
N/A
Customer Base & Case Studies
N/A
  • SRS Distribution (Wholesale Building Materials): "Progress Agentic RAG has fundamentally changed how we access and act on information across our organisation. Its ability to deliver fast, accurate, and verifiable insights from our unstructured data has been a game-changer for productivity and decision-making."
  • BrokerChooser (Financial Services): Replaced keyword search with generative AI, reporting significant conversion increases and better user experience
  • NAFEMS (Engineering Simulation Association): Knowledge discovery across thousands of technical publications for international membership community
  • Althaia Hospitals (Spain's Largest Central Catalonia Hospital): Medical protocol search supporting 5,000+ healthcare professionals
  • Columbia Business School: Academic knowledge discovery and research support
  • Barry University: Education sector deployment for institutional knowledge management
  • CCOO (Spain's Largest Trade Union): 1M+ members served with knowledge retrieval platform
  • Buff Sportswear: Commercial deployment for product and customer knowledge management
  • Pre-Acquisition Scale: ~20 customers across healthcare, pharmaceutical, education, public administration sectors
N/A

Ready to experience the CustomGPT difference?

Start Free Trial →

Final Thoughts

Final Verdict: Guru vs Progress Agentic RAG

After analyzing features, pricing, performance, and user feedback, both Guru and Progress Agentic RAG are capable platforms that serve different market segments and use cases effectively.

When to Choose Guru

  • You value permission-aware ai is unique differentiator - answers respect real-time access control
  • Enterprise-grade security: SOC 2, GDPR, zero LLM data retention, private models
  • Verified knowledge base with expert verification workflows ensures accuracy

Best For: Permission-aware AI is unique differentiator - answers respect real-time access control

When to Choose Progress Agentic RAG

  • You value proprietary remi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors
  • Open-source NucliaDB transparency (710+ GitHub stars) with managed infrastructure removes operational burden while maintaining technical visibility
  • Genuine no-code accessibility: business users (marketing, HR, legal, support) can deploy functional RAG pipelines in minutes via visual dashboard

Best For: Proprietary REMi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors

Migration & Switching Considerations

Switching between Guru and Progress Agentic RAG requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Guru starts at $25/month, while Progress Agentic RAG begins at $700/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

  1. Start with a free trial - Both platforms offer trial periods to test with your actual data
  2. Define success metrics - Response accuracy, latency, user satisfaction, cost per query
  3. Test with real use cases - Don't rely on generic demos; use your production data
  4. Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
  5. Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Guru and Progress Agentic RAG comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

  • • Review: Check the detailed feature comparison table above
  • • Test: Sign up for free trials and test with real queries
  • • Calculate: Estimate your monthly costs based on expected usage
  • • Decide: Choose the platform that best aligns with your requirements

Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

See Also

Ready to Get Started with CustomGPT?

Join thousands of businesses that trust CustomGPT for their AI needs. Choose the path that works best for you.

Start Your Free Trial

Experience the full power of CustomGPT risk-free.

Get Started
RECOMMENDED

Request a Demo

See how CustomGPT can transform your business operations.

Get Started

Contact Sales

Get personalized guidance from our expert team.

Get Started

Why Choose CustomGPT?

97% Accuracy

Industry-leading benchmarks

5-Min Setup

Get started instantly

24/7 Support

Expert help when you need it

Enterprise Ready

Scale with confidence

Trusted by leading companies worldwide

Fortune 500Fortune 500Fortune 500Fortune 500Fortune 500Fortune 500

CustomGPT

The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.

Get API KeyDocumentationRead our benchmarks
Get in touch
Contact Us

Join the Discussion

Loading comments...

Priyansh Khodiyar's avatar

Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

Watch: Understanding AI Tool Comparisons