In this comprehensive guide, we compare Jotform AI Agents 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 Jotform AI Agents 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 Jotform AI Agents if: you value omnichannel excellence: 7 native channels (whatsapp, facebook messenger, instagram, sms, voice/phone, website, standalone) vs most competitors requiring third-party integrations
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 Jotform AI Agents
Jotform AI Agents is online form builder with ai-powered automation. Form-centric RAG platform with omnichannel reach (WhatsApp, Instagram, SMS, Voice) and 7,000+ templates, built atop Jotform's 35-million-user form builder ecosystem. Runs GPT-4o with confirmed RAG architecture achieving 4.5/5 accuracy rating. Critical gap: NO dedicated AI Agents API for programmatic management—existing REST API covers forms only. $39/month entry, HIPAA/SOC 2/GDPR certified. Best for SMBs needing no-code multi-channel deployment, not developers building custom RAG integrations. Founded in 2006, headquartered in San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
88/100
Starting Price
$39/mo
About Progress Agentic RAG
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, Jotform AI Agents in overall satisfaction. From a cost perspective, Jotform AI Agents starts at a lower price point. The platforms also differ in their primary focus: Form Builder 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
Jotform AI Agents
Progress Agentic RAG
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
PDF Uploads: Document knowledge ingestion via PDF format
CRITICAL: CRITICAL GAP - NO Word Documents: .doc/.docx not explicitly supported - PDF uploads only for document ingestion
CRITICAL: CRITICAL GAP - NO Cloud Storage Ingestion: Google Drive, Dropbox, Notion function only as outbound file storage destinations, NOT knowledge sources - cannot auto-sync cloud repositories
Developer Workflow Friction: Must manually download cloud documents before upload vs competitors offering native cloud sync
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.
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
Customization & Branding
Visual Customization: Color schemes, gradient backgrounds, font families (Inter, Circular, Times New Roman), chat widget positioning
White-Labeling: Remove Jotform branding from Bronze tier+, full white-label with custom domain URLs (Enterprise only)
Domain Restrictions: Control widget embedding via whitelisting
CRITICAL: CRITICAL LIMITATION - NO Raw CSS Access: All customization flows through visual designer's predefined options - cannot inject custom CSS for pixel-perfect brand matching
Prompt Lab: Test LLMs side-by-side using actual customer data with real-time comparison
Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Primary Model: OpenAI GPT-4o for all standard accounts
HIPAA-Compliant Model: Google Gemini via Vertex AI exclusively for Gold/Enterprise accounts with BAA
Confirmed RAG Implementation: "Jotform utilizes the RAG technique to ensure all generated responses...are based on accurate, verified information from an agent's knowledge base"
Hallucination Prevention: RAG grounding + continuous monitoring of user-flagged responses with development team review
Third-Party Validation: 4.5/5 accuracy and reliability rating, 4.6/5 performance and speed (Futurepedia)
CRITICAL: NO Model Selection: Users CANNOT choose between providers or bring own API keys - Jotform manages routing internally
CRITICAL: NO Model Switching: Locked to GPT-4o (or Gemini for HIPAA) with no flexibility for cost/quality optimization
NO Benchmark Transparency: No published hallucination rates, retrieval accuracy percentages, or latency metrics - relies on third-party ratings only
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
Side-by-Side Testing: Compare responses across models using actual data in Prompt Lab
Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ).
Automatically balances cost and performance by picking the right model for each request.
Model Selection Details
Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
CRITICAL: CRITICAL LIMITATION - NO AI Agents API: No dedicated API for programmatically creating, managing, or querying AI agents
Jotform REST API: Exists at api.jotform.com but covers forms and form submissions ONLY, NOT AI agents
Cannot Perform Programmatically: Create agents, upload/update knowledge bases, query agents through API endpoints, integrate agent conversations into custom applications beyond embedding
Outbound API Capability: Agents can send requests to external webhooks/APIs based on conversation triggers (ticket creation, CRM updates) - agent-to-external-system direction only
11 SDKs Available: Python, JavaScript, PHP, Java, Go, C#, Ruby, Scala, iOS, Android, NodeJS - forms API coverage ONLY, NOT AI agents
Documentation: api.jotform.com/docs provides comprehensive code samples for forms - NO technical API reference for AI agents
Architectural Positioning: Platform designed as no-code consumer tool, NOT developer toolkit or RAG-as-a-Service API
Developer Gap: Fundamentally limits Jotform AI Agents to visual builder use cases vs programmatic integration workflows
Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
Futurepedia Third-Party Ratings: 4.5/5 accuracy and reliability, 4.6/5 performance and speed
RAG Grounding: Responses based on verified knowledge base information vs general model knowledge
Continuous Monitoring: Development team reviews AI-flagged responses for negative feedback to enhance detection tools
Feedback System: Thumbs up/down on individual responses enables ongoing improvement
Hallucination Prevention: RAG technique + user feedback monitoring for accuracy maintenance
24/7 Availability: All deployment channels support continuous operation
99.9% Uptime SLA: Enterprise tier with service level guarantees
Hourly Replication: Google Cloud and AWS backup infrastructure with data redundancy
CRITICAL: NO Published Benchmarks: No quantitative hallucination rates, retrieval accuracy percentages, or latency metrics - transparency gap vs competitors
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
Global Customer Base: Deployed across Spain, US, international markets indicating production multilingual usage
N/A
R A G-as-a- Service Assessment
Platform Type: FORM-CENTRIC NO-CODE CHATBOT PLATFORM with RAG capabilities - NOT pure RAG-as-a-Service like CustomGPT or Progress
RAG Implementation: Confirmed and explicitly documented - "Jotform utilizes the RAG technique to ensure all generated responses...are based on accurate, verified information from an agent's knowledge base"
Core Identity: Platform positioned as 'form-builder extension' vs developer-first RAG toolkit - fundamentally different target market
CRITICAL: NO AI Agents API: Critical gap - cannot create, manage, or query agents programmatically. Existing REST API covers forms only, NOT AI agents
Developer Limitation: Platform architected for no-code visual builder use cases vs API-first development workflows
Productized Vertical Solution: Exceptional within design parameters (form-to-conversation, multi-channel deployment, templates) but architecturally incompatible with RAG-as-a-Service development patterns
Comparison Validity: Architectural comparison to CustomGPT.ai is LIMITED - both implement RAG but serve fundamentally different use cases (no-code SMB vs developer API platform)
Use Case Fit: Organizations already using Jotform forms (35M+ users), SMBs needing multi-channel deployment without coding, form-to-conversation workflows - NOT developers needing programmatic RAG access
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
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
Market Position: Form-centric no-code chatbot platform with strongest appeal to existing Jotform ecosystem (35M+ users) and non-technical SMB teams
Omnichannel Leadership: 7 native channels (WhatsApp, Instagram, Facebook Messenger, SMS, Voice/Phone, website, standalone) vs most requiring third-party integrations
Form-to-Agent Differentiator: 9.5/10 rated one-click conversion of forms to conversational AI - unique capability absent from pure RAG platforms
Template Library Depth: 7,000+ templates vs minimal/none from RAG-as-a-Service competitors - fastest time to production for standard use cases
Voice Maturity: Dedicated phone numbers, inbound calls, web voice, customizable accents - more developed than most RAG competitors
Pricing Accessibility: $39/month Bronze entry vs $700/month (Progress), $30K+/year (Drift, Yellow.ai) - SMB-friendly with usable free tier
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
Deployment & Infrastructure
Cloud-Only SaaS: NO on-premise or hybrid deployment options - cloud-hosted exclusively
Primary Infrastructure: Google Cloud (Iowa US, Frankfurt Germany) with AWS backup (Virginia US, Frankfurt Germany)
Hourly Replication: Data backed up hourly across Google Cloud and AWS for redundancy
Enterprise Data Sovereignty: 19 data center options across 15 countries for regional compliance and performance
99.9% Uptime SLA: Enterprise tier with service level guarantees
Website Deployment: 5 embed styles (page, bubble, lightbox, popup, WordPress shortcode) with custom domain support (Enterprise)
Mobile Deployment: iOS and Android apps for agent management (not consumer-facing SDKs)
Progressive Web App: Standalone chat can convert to PWA for kiosk mode deployments
Multi-Channel Infrastructure: Native integrations with WhatsApp Business, Facebook Messenger, Instagram, SMS, Voice maintained by Jotform
NO On-Premise: Air-gapped environments and private infrastructure deployments not supported
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
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
Confirmed RAG Technique: "Jotform utilizes the RAG technique to ensure all generated responses are based on accurate, verified information from an agent's knowledge base"
Knowledge Base Sources: PDFs, website URLs with auto-recrawl (daily/weekly/monthly), YouTube videos with transcript extraction, PPTX presentations, direct text input, conversational training
Help Desk Sync: Zendesk, Freshdesk, Salesforce Knowledge article imports with automatic recrawling schedules
KB Character Limits: 10M (Free ~2.5K pages), 25M (Bronze ~6.2K), 50M (Silver ~12.5K), 100M (Gold ~25K), unlimited (Enterprise)
Hallucination Prevention: RAG grounding + continuous monitoring of user-flagged responses with development team review
Feedback System: Thumbs up/down on individual responses enables ongoing improvement and accuracy enhancement
No Cloud Storage Ingestion: Google Drive, Dropbox, Notion function only as outbound file storage, NOT knowledge sources
No Word Document Support: .doc/.docx not explicitly supported - PDF uploads only for document ingestion
No Vector Database Control: Embedding models, chunking strategies, or retrieval parameters not exposed to users
Black Box Implementation: No transparency into RAG pipeline internals or optimization capabilities
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)
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)
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
24/7 Live Chat & Email: support@jotform.com with 1-2 hour average response times - significantly faster than industry averages
Public Support Forum: Community Q&A with searchable historical threads for peer assistance
Comprehensive Help Center: jotform.com/help/ai-agents/ with step-by-step tutorials, integration guides, feature-specific articles
Video Tutorials: Visual learning resources supplement written documentation for all skill levels
Enterprise Support: Dedicated customer success managers, scheduled Zoom calls with support teams, SLA-based response guarantees
Professional Services: Implementation, training, and custom development services for Enterprise customers
Mobile App: iOS and Android apps for agent creation, training, management from mobile devices with push notifications
7,000+ Template Library: Healthcare (1,134), customer service (1,050), HR (1,068), education (760) with predefined roles and responses
No Phone Support: Standard plans (Free/Bronze/Silver/Gold) lack phone support - chat and email only
No Dedicated Account Managers: Enterprise tier required for dedicated CSM and scheduled support calls
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
CRITICAL: NO AI Agents API: No dedicated API for programmatically creating, managing, or querying AI agents - major developer limitation
Forms API Only: Existing REST API at api.jotform.com covers forms and form submissions ONLY, NOT AI agents
No Cloud Storage Ingestion: Google Drive, Dropbox, Notion function only as outbound file storage, NOT knowledge sources - critical workflow friction
No Word Document Support: .doc/.docx not explicitly supported - must convert to PDF before upload
No Model Selection: Users CANNOT choose between providers or bring own API keys - Jotform manages routing internally
No Benchmark Transparency: No published hallucination rates, retrieval accuracy percentages, or latency metrics
Limited B2B Messaging: Microsoft Teams & Telegram via Zapier integration only, NO native support
No Raw CSS Access: All customization flows through visual designer's predefined options - cannot inject custom CSS
SOC 2 Enterprise Only: Standard plans lack SOC 2 Type II certification - Enterprise tier required
Platform Positioning: Form-centric no-code chatbot platform with RAG - NOT developer-first RAG toolkit
Analytics Depth: More focused on "conversations + form analytics" vs comprehensive CX suite
Online Interactions Only: Primarily focuses on digital channels - may not suit businesses with significant offline engagement
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
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 Chatbot Features
Autonomous AI Agents: Operate autonomously to perform specific tasks, solve problems, and interact with systems without needing human interaction at every stage - agents figure things out and act on their own
AI Agents Overview
Conversational Form Completion: One of the core features is use of conversational prompts that interactively assist users in completing every field of forms, ensuring accuracy and minimizing errors - unique form-to-conversation capability
Multi-Channel Deployment: AI Agents assist users via multiple channels - chatbot on website, phone, SMS, WhatsApp, QR Code - offering seamless interactions across 7 native platforms
Features Overview
24/7 Availability: AI Agents available around the clock and can handle customer inquiries and questions at any time of day - continuous autonomous operation
Natural Language Understanding: Agents understand customer inquiries and provide immediate, natural responses via web, voice, SMS, WhatsApp enabling human-like conversations
Custom Response Configuration: Set custom responses to frequently asked questions, personalize chatbot questions, and integrate with business's internal data or knowledge base for highly relevant answers
Training & Triggers: Agents trained with data such as FAQs, workflows, user scenarios to enhance responses, with specific triggers and outcomes defined (sending emails, searching websites, creating tickets)
Voice & Phone Capabilities: AI Agents answer questions and assist users via phone with customizable accents, gender, tone settings for natural voice conversations - advanced telephony integration
Human Handoff Excellence: Seamlessly switch from AI chatbot assistance to human agents when needed for exceptional customer service - preserves full context during transition
20+ Language Support: Automatic mid-conversation language detection and switching based on user preference without manual configuration
Lead Capture Integration: Deep form integration linking to multiple Jotform forms with real-time validation during conversational flows for structured data collection
Payment Collection: 30+ gateway integrations (PayPal, Stripe, Square) for in-conversation sales/donations directly within chatbot flows
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.
Additional Considerations
Form-Centric Innovation: Unique positioning transforming static Jotform forms (35M+ user ecosystem) into conversational AI experiences - natural migration path for existing customers
Help Guide
9.5/10 Rated Differentiator: One-click form-to-agent conversion that preserves data validation and structure while enabling natural dialogue - capability absent from pure RAG platforms
SMB Accessibility: $39/month Bronze entry point vs $700+/month enterprise-only competitors - 17x cheaper with genuinely usable free tier (5 agents, 100 conversations)
Voice Maturity: Dedicated phone numbers ($10/month), inbound call handling, web voice calls, customizable accents/gender/tone - more developed than most RAG competitors
Rapid Deployment: "5-minute setup time" using 7,000+ templates (Healthcare 1,134, Customer Service 1,050, HR 1,068, Education 760) with predefined roles and responses
Mobile-First Management: iOS and Android apps for agent creation and management from mobile devices - unusual capability enabling on-the-go administration
NOT a RAG-as-a-Service Platform: Form-centric no-code chatbot platform WITH RAG capabilities - fundamentally different target market (form builders vs RAG developers)
Developer Gap: NO AI Agents API disqualifies platform for programmatic use cases - architected for no-code visual builder workflows, NOT API-first development
Cloud Storage Friction: NO Google Drive/Dropbox/Notion knowledge ingestion - requires manual download-before-upload workflow vs competitors with native cloud sync
Model Inflexibility: Locked to GPT-4o/Gemini with NO user control - cannot bring own API keys or switch models for cost optimization vs multi-model competitors
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.
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
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
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
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
Final Verdict: Jotform AI Agents vs Progress Agentic RAG
After analyzing features, pricing, performance, and user feedback, both Jotform AI Agents and Progress Agentic RAG are capable platforms that serve different market segments and use cases effectively.
When to Choose Jotform AI Agents
You value omnichannel excellence: 7 native channels (whatsapp, facebook messenger, instagram, sms, voice/phone, website, standalone) vs most competitors requiring third-party integrations
Form-to-agent conversion rated 9.5/10 differentiator - transforms static data collection into interactive conversation with one click
Best For: Omnichannel excellence: 7 native channels (WhatsApp, Facebook Messenger, Instagram, SMS, Voice/Phone, website, standalone) vs most competitors requiring third-party integrations
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 Jotform AI Agents 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
Jotform AI Agents starts at $39/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
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 Jotform AI Agents 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 14, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
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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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