What are the main differences between Progress Agentic RAG and Ragie?

Progress Agentic RAG excels in Proprietary REMi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors and Open-source NucliaDB transparency (710+ GitHub stars) with managed infrastructure removes operational burden while maintaining technical visibility, scoring 82/100 in user ratings with N/A% accuracy. Ragie leads in True multimodal support including audio/video and Extremely developer-friendly with simple APIs with 88/100 overall rating and 91% accuracy. Key technical difference: Progress Agentic RAG focuses on REMi evaluation model v2 (Llama 3.2-3B) for continuous quality scoring: answer relevance, context relevance, groundedness, correctness (0-5 scale) while Ragie emphasizes Multimodal RAG (text, audio, video). Pricing differs by $700/month.

Which is better for enterprises: Progress Agentic RAG or Ragie?

Progress Agentic RAG offers SOC 2 compliance for enterprise security. HIPAA compliance varies - contact vendors for details. For scalability, Ragie supports on-premise deployment for maximum control. Ragie leads with 88/100 enterprise readiness score (78/100 enterprise features).

How much does Progress Agentic RAG cost vs Ragie?

Progress Agentic RAG starts at $700/monthly (paid model), while Ragie begins at contact sales/monthly (freemium model). Ragie provides a free tier, and free trials are available. This represents a significant price difference of $700/month. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Progress Agentic RAG to Ragie?

Migration from Progress Agentic RAG to Ragie typically requires API-based data export/import, which Ragie provides. Ragie provides comprehensive API access good documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Ragie support for migration assistance and best practices.

What integrations do Progress Agentic RAG and Ragie support?

Progress Agentic RAG integrates with Python SDK: pip install nuclia (Python 3.8+, ~21K weekly downloads), JavaScript/TypeScript SDK: @nuclia/core (React, Next.js, Angular, Vue.js, Svelte), CMS plugins: WordPress, Strapi, Workflow: Pipedream official app, Zapier API-compatible, Chrome extension for web page indexing (7 integrations total). Ragie supports Google Drive, Notion, Confluence, Salesforce, Slack (9 integrations available). Both offer REST APIs for custom integrations. Ragie provides 29% more integrations, with webhook support for real-time data sync.

What are the main differences between Progress Agentic RAG and Ragie?

Progress Agentic RAG offers strong capabilities, scoring 0/100 in user ratings. Ragie provides unique strengths with 0/100 overall rating. Key technical difference: Progress Agentic RAG focuses on advanced features while Ragie emphasizes specialized capabilities.

Which is better for enterprises: Progress Agentic RAG or Ragie?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Ragie leads with strong/100 enterprise readiness score.

How much does Progress Agentic RAG cost vs Ragie?

Progress Agentic RAG starts at custom pricing/month (subscription model), while Ragie begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Progress Agentic RAG to Ragie?

Migration from Progress Agentic RAG to Ragie typically requires manual data transfer since API access may be limited. Ragie offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Ragie support for migration assistance and best practices.

What integrations do Progress Agentic RAG and Ragie support?

Progress Agentic RAG integrates with (multiple platforms). Ragie supports (various tools). API availability varies by plan. Integration coverage is comparable.

Progress Agentic RAG vs Ragie

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

More about Ragie More about Progress Agentic RAG Get Started Today

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 Progress Agentic RAG and Ragie 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 Progress Agentic RAG and Ragie, 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 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
Choose Ragie if: you value true multimodal support including audio/video

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

About Ragie

Ragie is fully managed rag-as-a-service for developers. Ragie is a fully managed RAG-as-a-Service platform that enables developers to build AI applications connected to their data with simple APIs. Originally developed for Glue chat app, it offers multimodal support including audio/video RAG, advanced features like hybrid search, and seamless data source integrations. Founded in 2024, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

88/100

Starting Price

Custom

Key Differences at a Glance

In terms of user ratings, Ragie in overall satisfaction. From a cost perspective, Ragie offers more competitive entry pricing. The platforms also differ in their primary focus: Enterprise Software versus RAG Platform. 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

Progress Agentic RAG	Ragie	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
60+ Document Formats – PDF, Word, Excel, PPT, email with auto parsing Multimedia Processing – Auto speech-to-text, video transcripts, OCR for scans Cloud Connectors – SharePoint, Confluence, OneDrive, Google Drive, S3 Fast Deployment – 2-hour initial ingestion, 48-hour full deployment ⚠️ Missing – No Dropbox, Notion, or YouTube transcript integration	✅ Ready-Made Connectors – Google Drive, Gmail, Notion, Confluence auto-sync data automatically ✅ Multi-Format Upload – PDF, DOCX, TXT, Markdown, URL/sitemap crawling supported ✅ Automatic Retraining – Manual or automatic knowledge base updates keep RAG current ✅ Real-Time Indexing – Launch RAG pipelines with immediate content updates and synchronization	1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
Python SDK – 21K weekly downloads, Python 3.8+ support JavaScript/TypeScript SDK – React, Next.js, Angular, Vue, Svelte support Progress Ecosystem – OpenEdge database, Sitefinity CMS integration ⚠️ No Messaging Channels – No native Slack, WhatsApp, Teams integrations	✅ Multi-Channel – Slack, Telegram, WhatsApp, Facebook Messenger, Microsoft Teams, chat widget ✅ Webhooks & Zapier – External actions: tickets, CRM updates, workflow automation ✅ Support Workflows – Real-time chat, easy escalation, customer-support focused design ⚠️ No Native UI – RAG API platform requires custom chat interface development	Website embedding – Lightweight JS widget or iframe with customizable positioning CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
AI Search & Answers – Semantic search with source-linked trusted answers Multi-Turn Conversations – Context-aware dialogue maintains conversation history Multilingual Support – Nuclia multilingual embedding model handles multiple languages ⚠️ Missing – No lead capture or human handoff workflows	✅ RAG Architecture – Context-aware answers from your data only, reduces hallucinations significantly ✅ Multi-Turn Context – Full session history, 95+ languages out of box ✅ Lead Capture – Automatic lead capture with human escalation on demand ✅ Fallback Handling – Human handoff and messages when bot confidence low	✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI ✅ Source citations – Every response includes clickable links to original documents ✅ 93% resolution rate – Handles queries autonomously, reducing human workload ✅ 92 languages – Native multilingual support without per-language config ✅ Lead capture – Built-in email collection, custom forms, real-time notifications ✅ Human handoff – Escalation with full conversation context preserved
Core Agent Features
Retrieval Agents – Autonomously select optimal retrieval strategies per query Pre-Built Agents (Beta) – Labeler, summarization, graph extraction, Q&A, safety Web Components – <nuclia-search-bar> and <nuclia-chat> for embedding ⚠️ No Proactive Alerts – Monitoring exists but alerting undocumented	✅ Agentic Retrieval – Multi-step engine: decomposes queries, self-checks, compiles cited answers ✅ MCP Server – Context-Aware descriptions enable accurate agent tool routing decisions ✅ Multi-Step Reasoning – Sequential retrieval operations with self-validation for complex queries ✅ Summary Index – Avoid document affinity problems through intelligent summarization ⚠️ No Built-In UI – API platform requires custom chat interfaces, not turnkey	Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks Multi-Agent Systems – Specialized agents for support, sales, knowledge Memory & Context – Persistent conversation history across sessions Tool Integration – Webhooks + 5,000 Zapier apps for automation Continuous Learning – Auto re-indexing without manual retraining
Additional Considerations
✅ REMi Quality – 30x faster v2, continuous evaluation addresses hallucination ✅ Open-Source Trust – NucliaDB 710+ stars enables security audits ⚠️ Recent Acquisition – June 2025 Progress purchase, platform transitioning	✅ Functions Feature – Bot performs real actions (tickets, CRM) in chat ✅ Headless API – SourceSync gives devs fully customizable retrieval layer ✅ Free Developer Tier – Test production-grade RAG infrastructure without commitment ⚠️ Functions Complexity – Advanced workflows require technical setup, not fully no-code	Time-to-value – 2-minute deployment vs weeks with DIY Always current – Auto-updates to latest GPT models Proven scale – 6,000+ organizations, millions of queries Multi-LLM – OpenAI + Claude reduces vendor lock-in
Customization & Branding
Prompt Lab – Test LLMs side-by-side using actual customer data 30+ RAG Parameters – Custom chunking, context size, hybrid search weighting Widget Customization – Visual editor for filters, metadata, thumbnails, answer modes RBAC – Account and Knowledge Box level permissions with SSO	✅ Widget Customization – Logos, colors, welcome text, icons match brand perfectly ✅ White-Label – Remove Ragie branding entirely for clean deployment ✅ Domain Allowlisting – Lock bot to approved sites for security ⚠️ Moderate Customization – Not as extensive as fully white-labeled custom solutions	Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost 2-minute setup – No-code wizard with drag-and-drop interface Persona customization – Control AI personality, tone, response style via pre-prompts Visual theme editor – Real-time preview of branding changes Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
7 Providers – Anthropic, OpenAI, Google, Meta Llama, Mistral, Cohere Nuclia Private GenAI – 100% data isolation for maximum security Model Switching – Change providers without architectural changes	✅ OpenAI GPT-4o – Primary "accurate" mode for depth, advanced reasoning, quality ✅ GPT-4o-mini – "Fast" mode balances quality with speed for volume ✅ Claude 3.5 Sonnet – Confirmed support through RAG-as-a-Service architecture integration ✅ Mode Toggle – Switch fast/accurate modes per chatbot without code changes ⚠️ No Model Agnosticism – OpenAI/Claude only; no Llama, Mistral, custom deployment	GPT-5.1 models – Latest thinking models (Optimal & Smart variants) GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available Claude 4.5 – Anthropic's Opus available for Enterprise Auto model routing – Balances cost/performance automatically Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
Open-Source Foundation – NucliaDB 710+ stars, AGPLv3, Python/Rust Python SDK – 21K weekly downloads, full API coverage JavaScript/TypeScript SDK – React, Next.js, Angular, Vue, Svelte support REST API – Regional endpoints /ask, /find, /upload, /remi	✅ REST API – Complete coverage: bot management, data ingestion, answers, clear docs ✅ TypeScript/Python SDKs – Official SDKs for production-grade RAG development workflows ✅ No-Code Builder – Drag-and-drop dashboard for non-devs, API for heavy lifting ✅ SourceSync API – Headless RAG layer for fully customizable retrieval backends	REST API – Full-featured for agents, projects, data ingestion, chat queries Python SDK – Open-source `customgpt-client` with full API coverage Postman collections – Pre-built requests for rapid prototyping Webhooks – Real-time event notifications for conversations and leads OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
✅ Benchmark Leader – Highest scores vs Vectara on Docmatix 1.4k dataset 100M Vectors – Fully ingested and optimized in ~20 minutes REMi v2 Speed – 30x faster inference, Llama 3.2-3B based Four-Index Hybrid – Document, Full Text, Vector/Chunk, Knowledge Graph	✅ Hybrid Search – Re-ranking, smart partitioning, semantic + keyword retrieval ✅ Fast/Accurate Modes – Speed-optimized or depth-focused responses per configuration ✅ Citation Support – Answers grounded in sources with traceable references ✅ Entity Extraction – Structured data from unstructured documents for advanced querying	Sub-second responses – Optimized RAG with vector search and multi-layer caching Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API Anti-hallucination tech – Responses grounded only in your provided content OpenGraph citations – Rich visual cards with titles, descriptions, images 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
30+ RAG Parameters – Fine-grained control over retrieval behavior Hybrid Weighting – Balance keyword vs semantic search relevance Agent Autonomy – Auto select optimal strategies per query Prompt Lab – Test configurations with actual data before production	✅ KB Updates – Hit "retrain," recrawl, upload files anytime in dashboard ✅ Personas & Prompts – Set tone, style, quick prompts for behavior ✅ Multiple Bots – Spin up bots per team/domain under one account ✅ Functions Feature – Perform actions (tickets, CRM) directly in chat	Live content updates – Add/remove content with automatic re-indexing System prompts – Shape agent behavior and voice through instructions Multi-agent support – Different bots for different teams Smart defaults – No ML expertise required for custom behavior
Pricing & Scalability
Fly – $700/mo: 10GB/15K resources, 750MB max file Growth – $1,750/mo: 50GB/80K resources, 1.5GB max, Prompt Lab Enterprise – Custom: Unlimited data, 11 KBs, hybrid/on-prem ✅ Competitive Entry – $700/mo undercuts enterprise alternatives	✅ Growth Plan – ~$79/month for small teams, basic multi-channel support ✅ Pro/Scale Plan – ~$259/month with expanded capacity, messages, bots, crawls ✅ Enterprise Plan – Custom pricing for large deployments, dedicated support, SLAs ✅ Smooth Scaling – Message credits scale costs with usage, no linear explosions ✅ 7-Day Free Trial – Full feature access to test everything risk-free	Standard: $99/mo – 60M words, 10 bots Premium: $449/mo – 300M words, 100 bots Auto-scaling – Managed cloud scales with demand Flat rates – No per-query charges
Security & Privacy
✅ SOC2 Type 2 – Annually audited enterprise security ✅ ISO 27001 – Annually audited information security management ✅ GDPR Compliant – Built-in PII anonymization auto-detects personal data Encryption – AES-256 at rest, TLS in transit ⚠️ NO HIPAA – Healthcare PHI processing requires sales clarification	✅ HTTPS/TLS & Encryption – Industry standard in-transit, data-at-rest encryption protection ✅ Workspace Isolation – Customer data stays isolated, no cross-tenant leakage ✅ SOC 2/GDPR/HIPAA – Type II certified, GDPR/HIPAA/CASA/CCPA compliant infrastructure ✅ Access Controls – Dashboard permissions, API key management, audit logging ⚠️ Cloud-Only SaaS – No on-premise/air-gapped deployment options for regulated industries	SOC 2 Type II + GDPR – Third-party audited compliance Encryption – 256-bit AES at rest, SSL/TLS in transit Access controls – RBAC, 2FA, SSO, domain allowlisting Data isolation – Never trains on your data
Observability & Monitoring
REMi Dashboard – Real-time metrics for relevance, groundedness, correctness (0-5) Rolling Averages – Performance graphs spanning 24h to 30 days Benchmark Validated – Tested vs Vectara on Docmatix 1.4k dataset ⚠️ No Proactive Alerts – Alerting not documented despite monitoring	✅ Dashboard Metrics – Chat histories, sentiment, key performance indicators displayed ✅ Daily Digests – Email summaries keep team informed without logins ⚠️ Basic Analytics – Not as comprehensive as dedicated conversation analytics platforms	Real-time dashboard – Query volumes, token usage, response times Customer Intelligence – User behavior patterns, popular queries, knowledge gaps Conversation analytics – Full transcripts, resolution rates, common questions Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
Documentation – docs.rag.progress.cloud + legacy docs.nuclia.dev SDK Ecosystem – Python 21K weekly + JavaScript/TypeScript active usage Progress Support – 2,000+ employee parent company infrastructure AWS Marketplace – November 2025 for streamlined procurement	✅ Email Support – 24-48hr response; faster for Enterprise customers ✅ Submit Request Form – Feature requests, integration suggestions, custom needs ✅ Partner Program – Agency partnerships for consultants, resellers, ecosystem growth ✅ Live Demo – Interactive environment for evaluating platform before trial ⚠️ No Phone Support – Email-based on standard plans; phone likely Enterprise-only	Comprehensive docs – Tutorials, cookbooks, API references Email + in-app support – Under 24hr response time Premium support – Dedicated account managers for Premium/Enterprise Open-source SDK – Python SDK, Postman, GitHub examples 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
Target Users – Non-technical teams: marketing, HR, legal, support Visual Dashboard – Create KB, upload docs, deploy widget in one session Point-and-Click Editor – Configure suggestions, filters, metadata visually Rapid Deployment – Minutes-to-production capability for business users	✅ Guided Dashboard – Paste URL or upload files, up running fast ✅ Pre-Built Templates – Live demo, simple embed snippet for painless deployment ✅ In-Platform Guidance – Visual walkthrough of configuration, deployment for no-code users ✅ Knowledge Base – Self-service docs covering setup, integrations, troubleshooting guides	2-minute deployment – Fastest time-to-value in the industry Wizard interface – Step-by-step with visual previews Drag-and-drop – Upload files, paste URLs, connect cloud storage In-browser testing – Test before deploying to production Zero learning curve – Productive on day one
R E Mi Evaluation Model ( Core Differentiator)
✅ Proprietary Investment – Addresses hallucination, absent from competitors REMi v2 – Llama 3.2-3B based, 30x faster inference Continuous Quality – Evaluates every interaction across 4 dimensions (0-5) ✅ Benchmark Leader – Highest scores vs Vectara on Docmatix 1.4k	N/A	N/A
Open- Source Nuclia D B Foundation
GitHub Presence – 710+ stars, AGPLv3 transparency into retrieval Technology Stack – Python and Rust for performance Four Index Types – Document, Full Text, Chunk/Vector, Knowledge Graph 100M Vector Performance – Full ingestion in ~20 minutes	N/A	N/A
Multi- Lingual Support
Nuclia Multilingual Embedding – Default model supports multiple languages 60+ Format Processing – Multi-language across PDF, Word, Excel, PPT Auto Transcription – Multi-language speech-to-text for audio/video	N/A	N/A
R A G-as-a- Service Assessment
✅ TRUE RAG-AS-A-SERVICE – Core mission is RAG backend LLM Flexibility – 7 providers switchable without changes Open-Source – NucliaDB 710+ stars, AGPLv3	✅ Platform Type – TRUE RAG-AS-A-SERVICE API platform, August 2024, $5.5M seed ✅ Core Mission – Developers build AI apps connected to data, outstanding RAG results ✅ API-First Architecture – TypeScript/Python SDKs, reliable ingest, latest RAG techniques chunking/re-ranking ✅ RAG Leadership – Summary Index, Entity Extraction, Agentic Retrieval, MCP Server ✅ Managed Service – Free dev tier, pro for production, enterprise scale, no infrastructure ⚠️ vs No-Code – No native widgets/Slack/WhatsApp/builders/analytics/lead capture, requires custom UI	Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure API-first – REST API, Python SDK, OpenAI compatibility, MCP Server No-code option – 2-minute wizard deployment for non-developers Hybrid positioning – Serves both dev teams (APIs) and business users (no-code) Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Competitive Positioning
✅ Pricing Advantage – $700/mo entry undercuts competitors ✅ REMi Differentiator – Continuous quality monitoring ⚠️ Integration Gaps – No native Slack/WhatsApp/Teams	✅ Market Position – Developer-friendly RAG balancing no-code dashboard with API flexibility ✅ Target Customers – SMBs needing quick chatbot, multi-channel teams, devs wanting flexibility ✅ Key Competitors – Chatbase.co, Botsonic, SiteGPT, CustomGPT, SMB no-code chatbot platforms ✅ Competitive Advantages – Hybrid search, SourceSync API, Functions, 95+ languages, ready connectors ✅ Pricing Advantage – Mid-range $79-$259/month, straightforward tiers, smooth scaling, best value ✅ Use Case Fit – Multi-channel support, simple REST API, webhook/Zapier CRM/ticket integration	Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox. Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster vs Botsonic/Chatbase – More file formats, source citations, no hidden costs vs LangChain – Production-ready in 2 min vs weeks of development
A I Models
7 Providers – Anthropic, OpenAI, Google, Meta, Mistral, Cohere Nuclia Private GenAI – 100% data isolation for security	✅ OpenAI GPT-4o – "Accurate" mode for depth, comprehensive analysis, highest quality ✅ GPT-4o-mini – "Fast" mode balances quality with rapid response times ✅ Claude 3.5 Sonnet – Anthropic integration enables Claude model deployment in production ✅ 2024 Models – Updated for latest including gpt-4o-mini long-context improvements ⚠️ Limited Selection – Only GPT-4o/mini toggle; no multi-model routing by complexity	OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series Anthropic – Claude 4.5 Opus/Sonnet (Enterprise) Auto-routing – Intelligent model selection for cost/performance Managed – No API keys or fine-tuning required
R A G Capabilities
Agentic RAG Engine – Retrieval agents auto-select strategies Four-Index Hybrid – Document, Full Text, Vector, Knowledge Graph REMi v2 Quality – Continuous evaluation, 30x faster Multimodal – OCR, speech-to-text, 60+ formats	✅ Hybrid Search – Semantic vector + keyword retrieval for comprehensive document matching ✅ Re-Ranking Engine – Surfaces most relevant content from retrieved docs ✅ Smart Partitioning – Intelligent chunking for optimized retrieval across large KBs ✅ Citation Support – Answers grounded in sources with traceable transparency ✅ 95+ Languages – Multilingual RAG without separate configurations for global bases ⚠️ Retraining Workflow – Manual retraining unless automatic mode enabled, not real-time	GPT-4 + RAG – Outperforms OpenAI in independent benchmarks Anti-hallucination – Responses grounded in your content only Automatic citations – Clickable source links in every response Sub-second latency – Optimized vector search and caching Scale to 300M words – No performance degradation at scale
Use Cases
Enterprise Knowledge – Deploy knowledge bases in minutes Healthcare & Pharma – Medical protocol search Developer RAG Backend – API-first for custom AI apps	✅ Customer Support – Self-service bots from help articles, reduce tickets up to 70% ✅ Internal Assistants – Employee-facing AI with Google Drive, Notion, Confluence knowledge ✅ Multi-Channel Support – Unified deployment: Slack, Telegram, WhatsApp, Messenger, Teams ✅ Website Widgets – Real-time engagement, lead capture, instant question answering ✅ CRM Integration – Functions create tickets, update CRM, trigger workflows from chat	Customer support – 24/7 AI handling common queries with citations Internal knowledge – HR policies, onboarding, technical docs Sales enablement – Product info, lead qualification, education Documentation – Help centers, FAQs with auto-crawling E-commerce – Product recommendations, order assistance
Security & Compliance
✅ SOC2 Type 2, ISO 27001, GDPR Encryption – AES-256 at rest, TLS in transit ⚠️ NO HIPAA – Healthcare requires sales contact	✅ AES-256 & TLS – Encryption at rest and in transit, zero training use ✅ SOC 2 Type II – Certified for GDPR, HIPAA, CASA, CCPA compliance ✅ Domain Allowlisting – Lock chatbots to approved domains for security ✅ Audit Logging – Activity tracking for compliance monitoring, incident investigation ⚠️ Cloud-Only – No on-premise for air-gapped/highly regulated requirements	SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance 256-bit AES encryption – Data at rest; SSL/TLS in transit SSO + 2FA + RBAC – Enterprise access controls with role-based permissions Data isolation – Never trains on customer data Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
Fly – $700/mo: 10GB/15K resources Growth – $1,750/mo: 50GB/80K resources Enterprise – Custom: Unlimited, hybrid/on-prem	✅ Free Trial – 7 days full access, test everything risk-free ✅ Growth – ~$79/month for small teams starting chatbot deployment ✅ Pro/Scale – ~$259/month expanded capacity: messages, bots, crawls, uploads ✅ Enterprise – Custom pricing for large deployments, dedicated support, SLAs ✅ Transparent Pricing – Straightforward tiers without hidden fees or confusing per-feature charges	Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot Enterprise: Custom – SSO, dedicated support, custom SLAs 7-day free trial – Full Standard access, no charges Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
Documentation – docs.rag.progress.cloud SDK Ecosystem – Python 21K weekly + JavaScript Progress Support – 2,000+ employee parent company	✅ Email Support – 24-48hr standard response; faster for Enterprise tier ✅ REST API Docs – Clear documentation with live examples covering all endpoints ✅ Daily Digests – Automated performance summaries, conversation metrics without logins ✅ Partner Program – Agency partnerships for consultants, implementers, resellers ecosystem ⚠️ No Phone Support – Email-based only on standard plans; phone Enterprise-reserved	Documentation hub – Docs, tutorials, API references Support channels – Email, in-app chat, dedicated managers (Premium+) Open-source – Python SDK, Postman, GitHub examples Community – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ NO HIPAA – Healthcare PHI requires sales contact ⚠️ NO Messaging – No Slack, WhatsApp, Teams ⚠️ Acquisition Risk – June 2025 purchase, transitioning	⚠️ OpenAI/Claude Only – Cannot deploy Llama, Mistral, custom open-source models ⚠️ Cloud-Only – No self-hosting, on-premise, air-gapped for regulated industries ⚠️ Message Credit Caps – High-volume requires plan upgrades or Enterprise pricing ⚠️ Crawler Limits – URL/sitemap scope limited by plan tier, large sites need higher ⚠️ Emerging Platform – Newer vs established competitors, smaller integration ecosystem	Managed service – Less control over RAG pipeline vs build-your-own Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source Real-time data – Requires re-indexing; not ideal for live inventory/prices Enterprise features – Custom SSO only on Enterprise plan

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Final Thoughts

Final Verdict: Progress Agentic RAG vs Ragie

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

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

When to Choose Ragie

You value true multimodal support including audio/video
Extremely developer-friendly with simple APIs
Fully managed service - no infrastructure hassle

Best For: True multimodal support including audio/video

Migration & Switching Considerations

Switching between Progress Agentic RAG and Ragie 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

Progress Agentic RAG starts at $700/month, while Ragie begins at custom pricing. 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

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

For most organizations, the decision between Progress Agentic RAG and Ragie 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: February 24, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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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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