Glean vs Progress Agentic RAG

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

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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 Glean 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 Glean 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 Glean if: you value permissions-aware ai is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern
  • 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 Glean

Glean Landing Page Screenshot

Glean is enterprise work ai with permissions-aware rag across 100+ apps. Glean is a premium enterprise RAG platform with permissions-aware AI as its core differentiator. Founded by ex-Google Search engineers, Glean achieved $100M ARR in three years and a $7.2B valuation (2025). It connects 100+ enterprise apps with real-time access controls, supports 15+ LLMs, and offers comprehensive APIs with 4-language SDKs. Trade-offs: enterprise-only sales (~$50/user/month, ~$60K minimum), no consumer messaging channels, and premium positioning over plug-and-play simplicity. Founded in 2019, headquartered in Palo Alto, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
96/100
Starting Price
$50/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, Glean in overall satisfaction. From a cost perspective, Glean starts at a lower price point. The platforms also differ in their primary focus: Enterprise RAG 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

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Glean
logo of progress
Progress Agentic RAG
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • 100+ native connectors covering major enterprise categories
  • Cloud Storage: Google Drive, SharePoint, OneDrive, Dropbox, Box
  • Communication: Slack, Microsoft Teams, Gmail, Outlook, Zoom
  • Collaboration: Confluence, Notion, Jira, GitHub, GitLab, Miro
  • CRM/Support: Salesforce, ServiceNow, Zendesk
  • Custom sources: Indexing API for proprietary systems, web crawling for internal sites
  • File formats: PDFs, Word documents, HTML, spreadsheets, structured data
  • Note: Video/YouTube ingestion not explicitly documented as core capability
  • Real-time sync: Content appears within minutes via API, permission changes reflect immediately
  • Initial indexing: Few days depending on data volume
  • Scale: 10,000-100,000 users managing hundreds of millions of documents
  • Metadata ingestion: Content, metadata, identity data, permissions, activity signals
  • Indexing API: 10 requests/second for bulk operations, ProcessAll limited to once per 3 hours
  • 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.
L L M Model Options
  • Model Hub supports 15+ LLMs across multiple hosting providers
  • OpenAI: GPT-3.5, GPT-4
  • Azure OpenAI: GPT models
  • Google Vertex AI: Gemini 1.5 Pro
  • Amazon Bedrock: Claude 3 Sonnet
  • Per-step model selection: Different LLMs for each workflow step
  • Temperature controls: Factual, balanced, or creative output settings
  • Model tiers: Basic, Standard, Premium (premium consumes FlexCredits on Enterprise Flex)
  • Two access options: Glean Universal Key (managed) or Customer Key (BYOK)
  • Zero data retention: Customer data never used for model training
  • Automatic model updates: Deprecated models replaced with latest versions
  • Automatic routing: Optimizes using best-in-class models per query type
  • 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.
Performance & Accuracy
  • 74% human-agreement rate on AI Evaluator benchmarks
  • 25% precision increases reported in customer case studies
  • 20% response time decreases documented
  • 141% ROI over 3 years (Forrester Total Economic Impact study)
  • $15.6M NPV for composite organizations
  • 110 hours saved per employee annually
  • AI Evaluator metrics: Context relevance, recall, answer relevance, completeness, groundedness
  • Hallucination prevention: RAG grounding, permission-aware retrieval, citation/source attribution
  • Note: Uptime SLA not publicly disclosed
  • 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.
Developer Experience ( A P I & S D Ks)
  • Client API: Search, Chat, Agents, Documents, Collections, Answers, Shortcuts, Insights, Governance
  • Indexing API: Document operations, People/Teams, Permissions management
  • Official SDKs: Python (pip install glean), Java (Maven), Go, TypeScript
  • Web SDK: @gleanwork/web-sdk for embeddable components (chat, search, autocomplete, recommendations)
  • Python features: Async support, FastAPI/Django/Streamlit integrations
  • Java features: POJOs, fluent builders, Reactive Streams
  • Go features: Context-based, standard net/http
  • Authentication: OAuth 2.0 (recommended), user-scoped tokens, global tokens with X-Glean-ActAs impersonation
  • Indexing API auth: Glean-issued tokens only (OAuth not supported, Super Admin creation only)
  • Rate limits: Agent Runs 30/min, /indexdocument 10/sec, /processalldocuments once per 3 hours
  • Framework integrations: LangChain (langchain-glean), Agent Toolkit (OpenAI Assistants, CrewAI, Google ADK)
  • MCP Server: 5-minute setup for Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT
  • Pre-built tools: glean_search, employee_search, calendar_search, gmail_search, code_search
  • Documentation: Excellent at developers.glean.com with OpenAPI specs, CodeSandbox demos
  • GitHub: github.com/gleanwork with SDK repositories and examples
  • 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.
Integrations & Channels
  • Slack: Official Marketplace app, Gleanbot auto-responses, Real-Time Search API
  • Microsoft Teams: Native Teams app and agent integration
  • Zoom: Custom AI Companion integration
  • No WhatsApp: No native integration
  • No Telegram: No native integration
  • No Zapier: No native integration (different product "Glean.ly" exists)
  • Browser extensions: Chrome (300K+ users), Firefox, Safari, Edge with sidebar search, Command+J access
  • Web SDK embedding: Components for chat, search, autocomplete, recommendations
  • MCP Server: Single server URL enables integration with multiple AI assistants
  • Identity providers: Okta, Microsoft Entra ID, Google Workspace, OneLogin, Shibboleth, ADFS, Duo, Ping Federate
  • SSO protocols: OIDC (strongly recommended), SAML 2.0
  • 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.
Customization & Branding
  • UI customization: Custom logos (wordmark + symbol), color schemes, background images
  • Home page: Configurable widgets and quick actions
  • Welcome messages and feature toggles
  • Custom subdomains: your-company.glean.com
  • Note: Complete white-labeling not documented - Glean branding may remain
  • Chat widget styling: CSS positioning, width/height, custom containers
  • Theme customization: Colors, borders, shadows
  • Domain restrictions, SSO enforcement, channel-specific response controls
  • Server-to-server auth: Enables SSO bypass when needed
  • 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.
Core R A G Features
  • Hybrid search: Combines semantic (vector-based) and lexical (keyword) approaches
  • Knowledge Graph Framework: Proprietary anchors and signals across enterprise data
  • Rich, Scalable Crawler: Permission rule synchronization at scale
  • LLM Control Layer: Optimizes and controls LLM outputs
  • RAG pipeline: Query Planning → Retrieval (permission-safe) → Generation (grounded, cited)
  • Hallucination prevention: RAG grounding, permission-aware retrieval, citation attribution
  • Context-aware query rewriting: LLM determines optimal query set with enterprise-specific rewrites
  • Permission-safe document retrieval with ranking
  • Grounded answers with source citations
N/A
N/A
Permissions- Aware A I ( Core Differentiator)
  • Real-time access control enforcement across all 100+ datasources
  • Identity crawling: Periodic capture of users, groups, memberships, permission models
  • Connector-level permission mirroring: Respects each source's native model (Salesforce, GDrive, etc.)
  • Real-time enforcement: Permission changes reflect immediately in search results
  • Technical implementation: allowedUsers/allowedGroups fields, nested group support
  • Debugging endpoints: Tools for troubleshooting permission issues
  • Zero-trust architecture: Users only see authorized content
  • Compliance-friendly: Meets regulatory requirements for data access control
N/A
N/A
Multi- Language & Localization
  • English: Full support (keyword search, semantic search, assistant, UI)
  • German: Full support
  • Japanese: Full support
  • French: Partial support
  • Spanish: Partial support
  • 20+ languages: Early access or keyword search only
  • Note: Cross-language queries in early access (e.g., English query finding Spanish documents)
N/A
N/A
Observability & Monitoring
  • Insights Dashboard: DAU/WAU/MAU metrics, Search Session Satisfaction (SSAT)
  • Usage metrics: Searches and chats per user per week
  • Department-level filtering with 270-day data retention
  • Coverage metrics: Signups/employees percentage
  • Search behavior analysis: Popular queries, patterns
  • Content engagement metrics
  • Insights API: POST /rest/api/v1/insights for programmatic access
  • Comprehensive audit logging: User activity, access patterns, permission changes, LLM responses
  • SIEM export capability
  • 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.
Pricing & Scalability
  • Note: No public pricing - enterprise sales only
  • Estimated cost: ~$45-50+ per user/month
  • Minimum ACV: ~$60K (approximately 100 users minimum)
  • Model: Per-seat, annual contracts
  • Free trial: Not available; paid POCs reportedly up to $70K
  • Renewal increases: 7-12% annually unless caps negotiated
  • FlexCredits: For premium LLM usage on Enterprise Flex plan
  • Support tiers: Standard (24x5, included), Premium (24x7 critical, additional fee)
  • Dedicated CSMs: Assigned to enterprise accounts with regular business reviews
  • 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
  • Yes SOC 2 Type II (annual audits)
  • Yes ISO 27001
  • Yes HIPAA compliant
  • Yes GDPR compliant
  • Yes TX-RAMP Level 2
  • Note: No FedRAMP certification
  • AES-256 encryption at rest, TLS 1.2+ in transit
  • Single-tenant infrastructure
  • Zero data retention for LLMs - customer data never used for training
  • Cloud-Prem deployment: Customer-hosted in AWS or GCP for full data residency control
  • Active Data Governance: Continuous scanning with 100+ predefined infotypes (PII, PCI, M&A)
  • Customizable policies, auto-hide for sensitive content
  • Governance API for programmatic control
  • 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.
No- Code Interface & Usability
  • Natural language agent configuration: Describe goals in plain language
  • Visual builder: Drag-and-drop workflow creation
  • AI-assisted creation: Glean suggests starting points and auto-generates draft agents
  • Agent Library: Pre-built templates for common use cases
  • 30+ prebuilt agents: Sales, engineering, IT, HR use cases
  • RBAC hierarchy: Setup Admin, Admin, Super Admin with granular permissions
  • 4.8/5 ease of use rating on G2
  • 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.
Support & Ecosystem
  • Standard support: 24x5 (Mon-Fri) via portal, email, Slack Connect
  • Premium support: 24x7 (critical only) with additional fee
  • Dedicated CSMs: Enterprise accounts with hands-on onboarding
  • Documentation: Excellent at developers.glean.com
  • GitHub repositories: SDK examples and sample projects
  • Regular business reviews for enterprise customers
  • 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.
Conversation & Agent Features
  • Conversation history: Thread tracking in Slack, History tab in interface
  • Version control: All agent versions automatically saved
  • Note: Lead capture not a native feature - designed for internal enterprise use
  • Note: Human handoff requires external integration - ClearFeed, ServiceNow, Zendesk escalation
N/A
N/A
Deployment Options
  • Cloud (SaaS): Standard deployment on Glean infrastructure
  • Cloud-Prem: Customer-hosted in AWS or GCP environment for full data residency control
  • Single-tenant architecture: Isolated infrastructure per customer
  • Browser extensions: Chrome, Firefox, Safari, Edge
  • Web SDK embedding: Custom integration in customer applications
N/A
N/A
R A G-as-a- Service Assessment
  • Yes TRUE RAG PLATFORM - API-first architecture with comprehensive developer tools
  • Data source flexibility: Excellent (100+ native connectors, Indexing API)
  • LLM model options: Excellent (15+ models with per-step selection, BYOK)
  • API-first architecture: Excellent (Client + Indexing APIs, 4-language SDKs)
  • Embeddings control: Via Indexing API and custom datasources
  • Performance benchmarks: Strong (Forrester TEI, customer case studies)
  • Permissions & governance: Best-in-class (real-time enforcement, Active Data Governance)
  • Best for: Large enterprises requiring permissions-aware RAG with compliance needs
  • Not ideal for: SMBs with budget constraints, teams needing consumer messaging channels
  • 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
  • vs CustomGPT: Enterprise-premium vs developer-friendly; permissions-aware AI vs flexible customization
  • vs Zendesk: Enterprise search + RAG vs customer service platform
  • Unique strength: Real-time permissions-aware AI across 100+ datasources (no competitor matches this)
  • Target audience: Large enterprises (1K-100K users) with complex permission hierarchies
  • Proven ROI: 141% ROI, $15.6M NPV, 110 hours saved per employee (Forrester)
  • Pricing barrier: ~$50/user/month with ~$60K minimum excludes SMBs
  • Enterprise focus: Security, governance, compliance over plug-and-play simplicity
  • 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
  • Model Hub supports 15+ LLMs across multiple hosting providers with per-step model selection
  • OpenAI: GPT-3.5, GPT-4 via OpenAI or Azure OpenAI endpoints
  • Google Vertex AI: Gemini 1.5 Pro with multimodal capabilities
  • Amazon Bedrock: Claude 3 Sonnet for high-accuracy enterprise use cases
  • Temperature controls: Factual, balanced, or creative output settings per workflow
  • Model tiers: Basic, Standard, Premium (premium consumes FlexCredits on Enterprise Flex plan)
  • Two access options: Glean Universal Key (managed) or Customer Key (BYOK) for data sovereignty
  • Zero data retention: Customer data never used for model training with automatic model updates
  • Automatic routing: Optimizes using best-in-class models per query type for accuracy and cost
  • 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
  • Hybrid search: Combines semantic (vector-based) and lexical (keyword) approaches for maximum accuracy
  • Knowledge Graph Framework: Proprietary anchors and signals across enterprise data with rich, scalable crawler
  • LLM Control Layer: Optimizes and controls LLM outputs with permission-safe document retrieval and ranking
  • Real-time permissions enforcement: Users only see authorized content with identity crawling and connector-level permission mirroring
  • Context-aware query rewriting: LLM determines optimal query set with enterprise-specific rewrites
  • Hallucination prevention: RAG grounding, permission-aware retrieval, citation/source attribution for every answer
  • 74% human-agreement rate on AI Evaluator benchmarks with 25% precision increases in customer case studies
  • 141% ROI over 3 years: $15.6M NPV for composite organizations, 110 hours saved per employee annually (Forrester)
  • Permissions-aware AI (unique): Real-time access control enforcement across all 100+ datasources - no competitor matches this capability
  • 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 knowledge retrieval: Unified search across 100+ datasources (Google Drive, SharePoint, Confluence, Salesforce, Zendesk, GitHub, Slack) for 10K-100K user organizations
  • Permissions-aware search: Complex permission hierarchies requiring real-time enforcement - healthcare, finance, legal industries with sensitive data access controls
  • AI agents and automation: 30+ prebuilt agents for sales, engineering, IT, HR use cases with workflow automation capabilities
  • Developer-friendly RAG: Official SDKs (Python, Java, Go, TypeScript), LangChain integration, MCP Server for Claude Desktop/Cursor/VS Code
  • Active Data Governance: Continuous scanning with 100+ predefined infotypes (PII, PCI, M&A) and customizable policies with auto-hide
  • Cloud-Prem deployment: Customer-hosted in AWS or GCP for regulated industries requiring full data residency control
  • NOT suitable for: SMBs with <100 users or <$60K budgets, simple document Q&A without permission requirements, consumer messaging channels (WhatsApp, Telegram)
  • 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: Annual audits ensuring enterprise security standards
  • ISO 27001 certified: International information security management compliance
  • HIPAA compliant: Healthcare data protection standards for sensitive medical information
  • GDPR compliant: European data protection regulation adherence with data subject rights
  • TX-RAMP Level 2 certified: Texas state government security standard
  • NO FedRAMP certification: Not authorized for US federal government use
  • AES-256 encryption at rest, TLS 1.2+ in transit with automatic key rotation
  • Single-tenant infrastructure: Isolated environment per customer for maximum security
  • Zero data retention for LLMs: Customer data never used for model training with formal agreements
  • Cloud-Prem deployment: Customer-hosted in AWS or GCP for complete data residency control
  • Active Data Governance: Continuous scanning with 100+ predefined infotypes (PII, PCI, M&A), customizable policies, auto-hide
  • Permissions-aware AI: Real-time access control enforcement with zero-trust architecture meeting regulatory requirements
  • 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
  • No public pricing - enterprise sales only with custom quotes
  • Estimated cost: ~$45-50+ per user/month based on third-party reports
  • Minimum ACV: ~$60K (approximately 100 users minimum for entry)
  • Per-seat model: Annual contracts based on number of users
  • No free trial: Paid POCs reportedly up to $70K for large enterprises
  • Renewal increases: 7-12% annually unless renewal caps negotiated upfront
  • FlexCredits (Enterprise Flex): For premium LLM usage with consumption-based billing
  • Support tiers: Standard (24x5, included) or Premium (24x7 critical, additional fee)
  • Dedicated CSMs: Assigned to enterprise accounts with regular business reviews and hands-on onboarding
  • Pricing barrier: Excludes SMBs and startups - targets Fortune 500 and mid-market enterprises with 1K-100K 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
  • Standard support: 24x5 (Mon-Fri) via portal, email, Slack Connect channels
  • Premium support: 24x7 for critical issues with additional fee
  • Dedicated CSMs: Enterprise accounts with hands-on onboarding and regular business reviews
  • Excellent documentation: developers.glean.com with OpenAPI specs, CodeSandbox demos, comprehensive API references
  • Official SDKs: Python (pip install glean), Java (Maven), Go, TypeScript with async support and framework integrations
  • Web SDK: @gleanwork/web-sdk for embeddable components (chat, search, autocomplete, recommendations)
  • GitHub repositories: github.com/gleanwork with SDK repositories and sample projects
  • Framework integrations: LangChain (langchain-glean), Agent Toolkit (OpenAI Assistants, CrewAI, Google ADK)
  • MCP Server: 5-minute setup for Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT with pre-built tools
  • Regular business reviews: Quarterly check-ins for enterprise customers with strategic planning
  • 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
Limitations & Considerations
  • High cost barrier: ~$50/user/month with ~$60K minimum ACV excludes SMBs, startups, and budget-conscious teams
  • No public pricing: Requires sales contact creating friction for evaluation and budget planning vs transparent competitors
  • Paid POCs: No free trial, POCs reportedly cost up to $70K for large enterprise pilots
  • Renewal increases: 7-12% annual price increases unless renewal caps negotiated upfront
  • NO FedRAMP certification: Not suitable for US federal government deployments
  • Limited consumer channels: No native WhatsApp, Telegram integrations - designed for internal enterprise use only
  • Complex implementation: Initial indexing takes "few days" depending on data volume, requires enterprise IT coordination
  • Cross-language queries in early access: English query finding Spanish documents still in testing phase
  • Best for: Large enterprises (1K-100K users) with complex permission hierarchies, $60K+ budgets, and need for permissions-aware AI across 100+ datasources
  • NOT suitable for: SMBs, startups, simple document Q&A without permission requirements, organizations prioritizing transparent pricing
  • 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
  • Autonomous AI agents: Agents use AI to understand tasks and take action on behalf of users from answering questions and retrieving information to executing work autonomously
  • Natural language agent builder: Build agents by describing desired output in simple natural language - Glean understands goal and designs complex multi-step workflows
  • Agentic reasoning engine: LLM-agnostic engine enables agents to go beyond retrieval and generation - powers sophisticated automation and decision-making by understanding outcomes, building multi-step plans, and using action library
  • 100+ native actions: Supports 100+ new native actions across Slack, Microsoft Teams, Salesforce, Jira, GitHub, Google Workspace and other applications
  • MCP host support: Gives agents dramatically larger surface area to operate across enterprise applications
  • Human-in-the-loop design: Agents can autonomously do work end-to-end with human review checkpoints - process customer support tickets, conduct research, prepare responses for employee review before execution
  • Vibe coding: Upgraded builder makes agent creation as simple as chatting - anyone (not just developers) can create and refine agents without understanding or interacting with code
  • Grounded in enterprise data: Autonomous agents grounded in most relevant authoritative information for confident work automation
  • Automatic agent triggering: Orchestrates agents automatically based on schedules or events and surfaces agent recommendations across enterprise
  • Visual and conversational workflow design: Turn ideas into structured workflows using simple natural language prompts or visual builder
  • 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
Additional Considerations
  • Cannot create content directly: Glean focuses purely on search and retrieval - not suitable for organizations needing content creation within platform
  • Platform designed for large organizations: Feature set and pricing optimized for large enterprises - smaller teams may find it overkill and less cost-effective
  • AI production challenges: 68% of organizations report moving only 30% or fewer AI experiments into full production highlighting persistent scaling difficulties beyond proof-of-concept
  • Integration complexity: Requires strategic overhaul of processes to ensure seamless technology incorporation into existing workflows
  • Change management: Overcoming resistance to change demands strong leadership and commitment to fostering innovation and adaptability environment
  • Data reliability monitoring: Potential for inaccuracies in AI outputs necessitates rigorous monitoring frameworks to ensure data reliability and trustworthiness
  • Cybersecurity concerns: As AI deployment expands, cybersecurity threats become more pronounced requiring enhanced protective measures for sensitive information
  • Bias in AI models: Models can inadvertently learn and replicate biases in training data leading to unfair or discriminatory outcomes particularly in hiring, customer service, legal decisions
  • Training investment required: Enterprises must invest in training workforce to effectively use AI tools - upskilling employees, hiring AI talent, or partnering with consultants
  • Security risks and shadow IT: Many organizations hesitate due to uncertainties from security risks and shadow IT - ad hoc generative AI adoption comes with heavy risks and costs
  • 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.
Core Chatbot Features
  • Glean Chat interface: Primary interface for interacting with Glean Assistant offering familiar chat-like experience enabling natural conversations with company knowledge base
  • Multi-turn conversations: Supports conversational AI with natural language and context awareness maintaining context across conversation turns
  • Streaming responses: Real-time response streaming for better user experience with automatic source citations for transparency
  • Chatbot context understanding: Understands thread and sequence of conversations tracking references like "their" and "they" across multiple exchanges
  • Enterprise knowledge integration: Works across all company apps and knowledge sources including Microsoft 365, Google Workspace, Salesforce, Jira, GitHub and nearly 100 more applications
  • Personalization and security: Delivers answers highly customized to each user based on deep understanding of company content, employees, and activity while adhering to real-time enterprise data permissions and governance rules
  • Citation and transparency: Provides full linking to source information across documents, conversations and applications for transparency and trust
  • Simple chatbot API: Powerful tool for integrating conversational AI into products creating custom conversational interfaces leveraging Glean's AI capabilities
  • Use case flexibility: Build chatbots answering customer questions using help documentation, FAQs, knowledge bases or create internal tools helping employees find company policies, procedures, documentation
  • 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 & Flexibility ( Behavior & Knowledge)
  • Natural language configuration: Build and configure agents by describing goals in plain language without technical expertise
  • Visual builder option: Alternative drag-and-drop workflow creation for those preferring visual interface
  • AI-assisted creation: Glean suggests starting points and auto-generates draft agents based on description
  • Agent Library templates: 30+ prebuilt agents for sales, engineering, IT, HR use cases as starting points
  • Per-step model selection: Different LLMs for each workflow step with temperature controls (factual, balanced, creative)
  • Model tiers: Basic, Standard, Premium models with FlexCredits for premium consumption on Enterprise Flex
  • Two access options: Glean Universal Key (managed) or Customer Key (BYOK) for data sovereignty
  • Zero data retention: Customer data never used for model training with automatic model updates
  • RBAC hierarchy: Setup Admin, Admin, Super Admin roles with granular permissions
  • Process knowledge integration: Glean uses underlying process knowledge to inform agent design and workflow optimization
  • 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.
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

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Final Thoughts

Final Verdict: Glean vs Progress Agentic RAG

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

When to Choose Glean

  • You value permissions-aware ai is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern
  • Strong developer experience - comprehensive APIs, 4-language SDKs (Python, Java, Go, TypeScript), LangChain integration
  • Model flexibility without vendor lock-in - 15+ LLMs with per-step selection and bring-your-own-key option

Best For: Permissions-aware AI is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern

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 Glean 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

Glean starts at $50/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 Glean 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 12, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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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.

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