What are the main differences between Lindy.ai and Progress Agentic RAG?

Lindy.ai excels in Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make and Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions, scoring 81/100 in user ratings with N/A% accuracy. Progress Agentic RAG leads 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 with 82/100 overall rating and N/A% accuracy. Key technical difference: Lindy.ai focuses on 5,000+ app integrations via Pipedream Connect partnership (conservative '200+ integrations' claim) while Progress Agentic RAG emphasizes REMi evaluation model v2 (Llama 3.2-3B) for continuous quality scoring: answer relevance, context relevance, groundedness, correctness (0-5 scale). Pricing differs by $700/month.

Which is better for enterprises: Lindy.ai or Progress Agentic RAG?

Lindy.ai offers SOC 2 compliance for enterprise security. HIPAA compliance is available in Lindy.ai. For scalability, both offer cloud-based deployment options. Progress Agentic RAG leads with 82/100 enterprise readiness score.

How much does Lindy.ai cost vs Progress Agentic RAG?

Lindy.ai starts at custom pricing/monthly (credit-based model), while Progress Agentic RAG begins at $700/monthly (paid model). Lindy.ai offers a free tier. This represents a significant price difference of $700/month. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Lindy.ai to Progress Agentic RAG?

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

What integrations do Lindy.ai and Progress Agentic RAG support?

Lindy.ai integrates with 5,000+ apps via Pipedream Connect (2,500+ pre-built actions), Messaging: Slack (full integration), WhatsApp (Personal/Business APIs), Microsoft Teams, Telegram, Discord, Twilio SMS, CRM: Salesforce (24 actions, 8 triggers), HubSpot (deep integration), Pipedrive, Zoho CRM, Productivity: Notion (16 actions, 7 triggers), Airtable (full CRUD), Google Workspace (Gmail, Calendar, Docs, Sheets, Drive), Embedding: Popup widgets, iFrame embeds, public links with domain restrictions (8 integrations total). Progress Agentic RAG supports 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 available). Progress Agentic RAG offers API capabilities. Lindy.ai offers 14% more integrations.

What are the main differences between Lindy.ai and Progress Agentic RAG?

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

Which is better for enterprises: Lindy.ai or Progress Agentic RAG?

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

How much does Lindy.ai cost vs Progress Agentic RAG?

Lindy.ai starts at custom pricing/month (subscription model), while Progress Agentic RAG 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 Lindy.ai to Progress Agentic RAG?

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

What integrations do Lindy.ai and Progress Agentic RAG support?

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

Lindy.ai vs Progress Agentic RAG

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

More about Progress Agentic RAG More about Lindy.ai 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 Lindy.ai 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 Lindy.ai 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 Lindy.ai if: you value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make
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 Lindy.ai

Lindy.ai is ai-powered personal assistant for workflow automation. No-code AI agent platform positioning as 'AI employees' for workflow automation, NOT developer-focused RAG platform. 5,000+ integrations via Pipedream, Claude Sonnet 4.5 default, $5.1M revenue (Oct 2024), 4.9/5 G2 rating. Critical limitation: No public API or SDKs available. Founded in 2023, headquartered in San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

81/100

Starting Price

Custom

About Progress Agentic RAG

Progress Agentic RAG Landing Page Screenshot

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

Overall Rating

82/100

Starting Price

$700/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Lindy.ai starts at a lower price point. The platforms also differ in their primary focus: AI Assistant 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

Lindy.ai	Progress Agentic RAG	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Document Formats – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB per file) Cloud Integrations – Drive, OneDrive, Dropbox, Notion, SharePoint, auto 24-hour sync ⚠️ Storage Limits – 1M chars (Free), 20M (Pro), 50M (Business) ⚠️ Search Constraint – Fuzziness <100 limits to first 1,500 files	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	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
5,000+ Apps – Via Pipedream Connect with 2,500+ ready actions Messaging – Slack, WhatsApp, Teams, Telegram, Discord, Twilio SMS CRM – Salesforce (24 actions), HubSpot, Pipedrive, Zoho CRM Productivity – Notion, Airtable, Google Workspace (Gmail, Calendar, Docs, Sheets, Drive) Webhooks + HTTP – Inbound triggers and outbound API calls	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	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 Agent Features
Agent Autonomy Focus – Task execution vs conversational chatbot Multi-Lingual – 30+ (voice), 50+ (transcription), 85+ (text) ✅ Lead Capture – Real-time qualification, CRM sync (70% higher conversion claimed) Agent Evals – Benchmarking with regression prevention	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	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
Customization & Branding
Widget – Custom name, accent color, logo for expanded/collapsed states Domain Restrictions – Control allowed deployment domains Memory Snippets – Learning preferences saved across sessions ⚠️ White-Label Unclear – Complete branding removal not explicitly confirmed	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	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
Anthropic Claude – Sonnet 4.5 (default), Sonnet 3.7, Haiku 3.5 OpenAI – GPT-5, GPT-5 Codex, GPT-4o, GPT-4 Turbo, o3, o1 Google Gemini – 2.5 Pro, 2.5 Flash, 2.0 Flash Per-Action Selection – Manual model choice affects credit consumption ⚠️ No Auto-Routing – No dynamic model switching	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	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)
⚠️ CRITICAL LIMITATION – NO public REST API, GraphQL, or SDKs Workarounds Only – Inbound webhooks, HTTP actions, Code sandboxes (~150ms) User-Focused Docs – Lindy Academy for business users, NO API reference	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 – 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
Hybrid Search – Semantic + keyword with Fuzziness slider (0-100) Hallucination Reduction – Human confirmation before actions ⚠️ NO Published Benchmarks – No RAG accuracy or latency metrics ⚠️ Black Box – Vector database and embedding models undisclosed	✅ 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	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
Pricing & Scalability
Free: $0 – 400 credits, 1M char knowledge base Pro: $49.99 – 5,000 credits, 20M chars, phone calls, Lindy branding Business: $199.99-$299.99 – 20K-30K credits, 50M chars, custom branding Enterprise: Custom – SSO, SCIM, dedicated support, custom training ⚠️ Unpredictable Costs – Credit depletion speed is primary user complaint	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	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
SOC 2 Type II, HIPAA, GDPR, PIPEDA, CCPA – Comprehensive compliance Encryption – AES-256 at rest, TLS 1.2+ in transit Enterprise SSO + SCIM – Automated user lifecycle management ⚠️ US Data Residency Only – No explicit EU option documented	✅ 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	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
Workflow Performance – Agent action visibility with recent runs Audit Logs – User actions, data access on Business/Enterprise plans ⚠️ Log Retention – 1 day (Free) severely constrains troubleshooting ⚠️ NO RAG Metrics – Cannot track retrieval precision or recall	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	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
Email Support – support@lindy.ai, security@lindy.ai, privacy@lindy.ai Slack + Forum – community.lindy.ai for peer support 100+ Templates – Pre-built workflow automation scenarios ⚠️ Support Inconsistency – Mixed reviews on responsiveness for lower tiers	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	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
✅ 4.9/5 G2 Rating – 109+ reviews validate ease of use Agent Builder – Natural language prompts create complex agents Setup Speed – 30 seconds vs 15-60 minutes with Zapier/Make Drag-Drop Builder – Visual workflow construction, zero coding	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	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
Autopilot & Computer Use ( Core Differentiator)
Unique Capability – AI agents operate cloud-based virtual computers No API Required – Interact with any website/application through computer vision E2B Sandboxes – Secure Python/JavaScript execution (~150ms startup) ✅ Market Differentiation – Computer Use unique among no-code automation platforms	N/A	N/A
Multi- Agent Collaboration
Societies of Lindies – Multiple specialized agents with delegation rules Context Preservation – Full conversation history passed between agents Use Cases – Sales (SDR → AE → CS), Support (Triage → Technical → Escalation) Learning Shared – Feedback across agent society for collective improvement	N/A	N/A
Lead Capture & Conversion
Real-Time Qualification – AI evaluates lead quality during conversation Enrichment – Firmographic data, UTM attribution, validation Auto CRM Sync – Qualified leads flow to Salesforce, HubSpot, Pipedrive, Zoho ✅ 70% Higher Conversion – Claimed vs traditional forms (vendor claim)	N/A	N/A
R A G-as-a- Service Assessment
⚠️ NOT a RAG Platform – Workflow automation for business users vs developers Black-Box RAG – Hybrid search with no exposed retrieval controls NO API, SDKs, CLI – No programmatic access for developers	✅ 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 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
✅ Primary Advantage – 4.9/5 G2 usability with 5,000+ integrations Financial Validation – $5.1M revenue, $50M+ funding (Menlo, Battery, Coatue) Claude Sonnet 4.5 Default – Drove 10x customer growth ⚠️ Pricing Unpredictability – Credit-based model most common complaint	✅ Pricing Advantage – $700/mo entry undercuts competitors ✅ REMi Differentiator – Continuous quality monitoring ⚠️ Integration Gaps – No native Slack/WhatsApp/Teams	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
Default: Claude Sonnet 4.5 – 'Almost no one overrides' per Anthropic Claude Family – Sonnet 4.5, 3.7, Haiku 3.5 (200K context) OpenAI – GPT-5, GPT-4o, GPT-4 Turbo, o3, o1 Google – Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash	7 Providers – Anthropic, OpenAI, Google, Meta, Mistral, Cohere Nuclia Private GenAI – 100% data isolation for security	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
Hybrid Search – Semantic + keyword with Fuzziness slider (0-100) Document Processing – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB) Cloud Integration – Auto 24-hour sync (Drive, OneDrive, Dropbox, Notion, SharePoint) ⚠️ Black Box – Vector database, embedding models undisclosed ⚠️ NO Developer Control – Cannot customize retrieval parameters	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	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
Sales Automation – Lead qualification, scoring, enrichment, CRM syncing Customer Support – Email triage, routing, FAQ, escalation Voice Agents (Gaia) – 30+ language phone automation with call transfer ⚠️ NOT Ideal For – Developers needing RAG APIs, EU residency	Enterprise Knowledge – Deploy knowledge bases in minutes Healthcare & Pharma – Medical protocol search Developer RAG Backend – API-first for custom AI apps	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
SOC 2 Type II + HIPAA with BAA – Independently audited GDPR + PIPEDA + CCPA – Multi-region privacy compliance AES-256 + TLS 1.2+ – Encryption at rest and in transit ⚠️ NO ISO 27001 – May limit enterprise procurement	✅ SOC2 Type 2, ISO 27001, GDPR Encryption – AES-256 at rest, TLS in transit ⚠️ NO HIPAA – Healthcare requires sales contact	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
Free: $0 – 400 credits, 1M chars, 1-day logs Pro: $49.99 – 5K credits, 20M chars, phone calls Business: $199.99-$299.99 – 20K-30K credits, 50M chars, branding ⚠️ PRIMARY COMPLAINT – Unpredictable credit consumption difficult to budget	Fly – $700/mo: 10GB/15K resources Growth – $1,750/mo: 50GB/80K resources Enterprise – Custom: Unlimited, hybrid/on-prem	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
Lindy Academy – Step-by-step tutorials for business users 100+ Templates – Pre-built workflows for common scenarios Slack + Forum – community.lindy.ai for peer support ⚠️ NO Developer Docs – No API reference or technical architecture	Documentation – docs.rag.progress.cloud SDK Ecosystem – Python 21K weekly + JavaScript Progress Support – 2,000+ employee parent company	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 Public REST API – Cannot manage agents programmatically Black Box RAG – Vector database, embeddings undisclosed Search Constraint – Fuzziness <100 limits to 1,500 files Credit Unpredictability – Most common user complaint about costs ⚠️ Platform Mismatch – Workflow automation vs RAG comparison misleading	⚠️ NO HIPAA – Healthcare PHI requires sales contact ⚠️ NO Messaging – No Slack, WhatsApp, Teams ⚠️ Acquisition Risk – June 2025 purchase, transitioning	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
Core Chatbot Features
N/A	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	✅ #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
Additional Considerations
N/A	✅ 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	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 & Flexibility ( Behavior & Knowledge)
N/A	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	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
R E Mi Evaluation Model ( Core Differentiator)
N/A	✅ 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
Open- Source Nuclia D B Foundation
N/A	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
Multi- Lingual Support
N/A	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

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Final Thoughts

Final Verdict: Lindy.ai vs Progress Agentic RAG

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

When to Choose Lindy.ai

You value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make
Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions
Claude Sonnet 4.5 default drives 10x customer growth - best-in-class language understanding

Best For: Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make

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 Lindy.ai 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

Lindy.ai starts at custom pricing, 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

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 Lindy.ai 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: February 23, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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

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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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