Data Ingestion & Knowledge Sources
File Formats – PDF, DOCX, plain text ONLY
❌ CRITICAL LIMITATION – NO CSV, Excel, or structured data format support
Website Crawler – Up to 1,000 pages per domain with automatic extraction
Sitemap Ingestion – Required for sites larger than 1,000 pages
Help Desk Integration – Zendesk and Zoho for importing articles
❌ NO Cloud Storage – Google Drive, Dropbox, Notion, OneDrive require manual downloads
❌ NO YouTube Transcripts – Video content ingestion not supported
Knowledge Base Limits – 500K chars (Free), 20M chars (Pro), 90M chars (Ultimate)
⚠️ Automatic Syncing – Daily, weekly, monthly schedules (NO real-time continuous sync)
✅ Auto-Indexing – Points at files, indexes unstructured data automatically without manual setup
✅ Auto-Sync – Connected repositories sync automatically, document changes reflected almost instantly
File Formats – Supports PDF, DOCX, PPT, TXT and common enterprise formats
⚠️ Limited Scope – No website crawling or YouTube ingestion, narrower than CustomGPT
Enterprise Scale – Handles large corporate data sets, exact limits not published
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
WhatsApp Business API – Native integration with full functionality, media sharing
Website Embedding – Floating chat bubble, inline iframe, full-page deployment
Zapier Integration – 7,000+ apps with triggers and actions
CMS Plugins – WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop
HTTP Request Actions – Custom API calls for order lookups, CRM updates
❌ CRITICAL GAPS – NO native Slack, Microsoft Teams, or Telegram integrations
❌ NO Mobile SDKs – App integration requires webview embedding
⚠️ Standalone Only – Own chat/search interface, not a "deploy everywhere" platform
⚠️ No External Channels – No Slack bot, Zapier connector, or public API
Web/Desktop UI – Users interact through Pyx's interface, minimal third-party chat synergy
Custom Integration – Deeper integrations require custom dev work or future updates
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
AI Intents – Train on example phrases for recognition without exact matching
Visual Flow Builder – No-code drag-and-drop conversation design
HTTP Request Blocks – Real-time API integrations within flows
Lead Capture – Built-in system variables for name, email, phone collection
Multi-language Detection – 85+ languages with automatic browser-based preference
❌ CRITICAL LIMITATION – NO native human handoff, fallback collects contact info
⚠️ Third-Party Escalation – Requires Zapier to Zendesk/Freshdesk (adds latency)
AI Agents (Beta) – Task-oriented assistants beyond simple chatbots
Conversational Search – Context-aware Q&A over enterprise documents with follow-up questions
⚠️ Internal Focus – Designed for knowledge management, no lead capture or human handoff
Multi-Language – Likely supports multiple languages, though not a headline feature
⚠️ Basic Analytics – Stores chat history, fewer business insights than customer-facing tools
✅ #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
Visual Customization – Primary/secondary colors, custom icons, header titles
Custom Instructions – System prompt for persona, tone, behavior rules
Temperature Control – 0-1 scale for creativity at global or per-block level
Max Length Settings – Token limits to control response verbosity
White-Labeling – Ultimate tier ($99/month) removes 'Powered by Chatling'
❌ CRITICAL LIMITATION – NO custom CSS injection for pixel-perfect brand matching
⚠️ Minimal Branding – Logo/color tweaks only, designed as internal tool not white-label
⚠️ No Embedding – Standalone interface, no domain-embed or widget options available
Pyx UI Only – Look stays "Pyx AI" by design, public branding not supported
Security Focus – Emphasis on user management and access controls over theming
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
Free Tier (8 Models) – GPT-4.1, GPT-4o, GPT-4o Mini, Claude 4 Sonnet, Claude 3.5 Haiku
Paid Tiers (32 Total) – GPT-5, GPT-5 Mini, o4 Mini, Claude 4.5 Sonnet, Gemini 2.5 Pro/Flash
✅ Model Selection Flexibility – Configure globally OR per AI response block
Temperature & Max Tokens – Exposed at both global and per-block levels
⚠️ NO Automatic Routing – Model selection is manual, no complexity-based switching
Credit System – 1 credit per AI response on GPT-4o, monthly reset (no carryover)
✅ Competitive Advantage – 32-model roster exceeds most no-code platforms
⚠️ Undisclosed Model – Likely GPT-3.5/GPT-4 but exact model not publicly documented
⚠️ No Model Selection – Cannot switch LLMs or configure speed vs accuracy tradeoffs
⚠️ Single Configuration – Every query uses same model, no toggles or fine-tuning
Closed Architecture – Model details, context window, capabilities hidden from users intentionally
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)
REST API v2 – https://api.chatling.ai/v2/ with Bearer token auth
Rate Limit – 300 requests/minute across all endpoints
Chatbots Endpoint – Create, duplicate, list, retrieve, update settings
AI Endpoint – List models, languages, chat with knowledge base
Knowledge Base Endpoint – Add links/text/FAQs, resync, delete sources
Conversations Endpoint – List, retrieve, update, access message history
Conversation Context Persistence – conversation_id for multi-turn dialogues
❌ CRITICAL GAPS – NO official JavaScript/Python SDKs, NO Postman collections, NO OpenAPI specs
⚠️ Developer Burden – Must build own HTTP clients without SDK support
⚠️ No API – No open API or SDKs, everything through Pyx interface
⚠️ No Embedding – Cannot integrate into other apps or call programmatically
Closed Ecosystem – No GitHub examples, community plug-ins, or extensibility options
Turnkey Only – Great for ready-made tool, limits deep customization or extensions
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
Customer Testimonial – 45% of support questions resolved, 1,500+ email reduction
✅ Reliability Praised – "Chatbots have never gone down" in G2 reviews
Large-Scale Deployment – 4,000+ website URLs with "reliable answers"
✅ 5-Minute Setup Time – Consistently praised rapid deployment
RAG Grounding – Responses grounded in uploaded content
❌ NO Source Citations – Responses don't show which documents informed answers
❌ NO Confidence Scoring – No hallucination detection mechanisms documented
❌ NO Published Benchmarks – Performance claims rely on testimonials vs metrics
Real-Time Answers – Serves accurate responses from internal documents, sparse public benchmarks
Auto-Sync Freshness – Connected repositories keep retrieval context always current automatically
⚠️ Limited Transparency – No anti-hallucination metrics or advanced re-ranking details published
Competitive RAG – Likely comparable to standard GPT-based systems on relevance control
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
Free Tier – $0, 100 AI credits, 2 chatbots, 1 seat, 500K characters, 8 models
Pro Tier – $25/month, 3,000 credits, 5 chatbots, 2 seats, 20M characters, 32 models
Ultimate Tier – $99/month, 12K-20K credits, 35 chatbots, 6 seats, 90M characters
✅ Unlimited Non-AI Chats – All tiers include unlimited non-AI conversations
14-Day Money-Back Guarantee – Risk-free testing for initial purchases
✅ Competitive SMB Positioning – $25/month vs $700/month (Progress), $30K+/year (Drift)
⚠️ Credit System – Monthly reset with no carryover requires usage planning
Seat-Based Pricing – ~$30 per user per month, predictable monthly costs
✅ Cost-Effective Small Teams – Affordable for teams under 50 users
⚠️ Large Team Costs – 100 users = $3,000/month, can scale expensively
Unlimited Content – Document/token limits not published, gated only by user seats
Free Trial + Enterprise – Hands-on trial available, custom pricing for large deployments
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
GDPR Compliant – EU data residency (DigitalOcean Amsterdam)
NO Training on Customer Data – OpenAI, Anthropic, Google agreements explicit
Trust Center – trust.chatling.ai with security docs and sub-processor lists
❌ CRITICAL GAPS FOR ENTERPRISE – NO SOC 2, HIPAA, or ISO 27001 certification
❌ NO SSO/SAML Support – Enterprise identity provider integration absent
❌ NO IP Restriction Capabilities – Cannot limit access to specific IP ranges
❌ NO Audit Logs – Beyond basic analytics, compliance tracking limited
⚠️ Disqualifying for Regulated Industries – Finance, healthcare, government blocked
✅ GDPR Compliance – Germany-based, implicit EU data protection and regional sovereignty
✅ Enterprise Privacy – Data isolated per customer, encrypted in transit and rest
✅ No Model Training – Customer data not used for external LLM training
✅ Role-Based Access – Built-in controls, admins set document visibility per role
⚠️ Limited Certifications – On-prem or SOC 2/ISO 27001/HIPAA not publicly documented
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
Dashboard Metrics – Conversation counts, new leads, peak chat times heatmap
User Satisfaction Ratings – Helpful/unhelpful tracking with analytics percentages
Real-Time Monitoring – Live chatbot interaction visibility
API Data Extraction – Conversations/contacts via REST API for analysis
⚠️ CRITICAL LIMITATIONS – Export functionality minimal or in development
❌ NO Custom Report Builder – Users work with built-in dashboard views only
Basic Stats – User activity, query counts, top-referenced documents for admins
⚠️ No Deep Analytics – No conversation analytics dashboards or real-time logging
Adoption Tracking – Useful for usage monitoring, lighter insights than full suites
Set-and-Forget – Minimal monitoring overhead, contact support for issues
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
Email-Only Support – support@chatling.ai, NO live chat or phone
✅ G2 Support Rating – 9.2/10 quality despite response time concerns
Comprehensive Documentation – docs.chatling.ai with getting started guides
Video Tutorials – Supplement written documentation
Action Tutorial Library – Practical HTTP request examples
❌ MISSING ECOSYSTEM – NO community forum, Discord, Slack workspace, or status page
❌ NO Public Roadmap – Feature development transparency limited
✅ Direct Support – Email, phone, chat with hands-on onboarding approach
⚠️ No Open Community – Closed solution, no plug-ins or user-built extensions
Internal Roadmap – Product updates from Pyx only, no community marketplace
Quick Setup Focus – Emphasizes minimal admin overhead for internal knowledge search
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
✅ 5-Minute Setup Time – Consistently praised by G2 reviewers
Visual Flow Builder – Drag-and-drop conversation design without coding
AI Intents Training – Example phrase interface for configuration
Knowledge Base Management – Upload files, add text via simple dashboard
Analytics Dashboard – Visual metrics with heatmaps accessible to business users
⚠️ G2 CRITICISM – Single flow architecture unwieldy for complex bots
❌ MISSING FEATURES – Cannot import/export flows for version control
✅ Straightforward UI – Users log in, ask questions, get answers without coding
✅ No-Code Admin – Admins connect data sources, Pyx indexes automatically
Minimal Customization – UI stays consistent and uncluttered by design
Internal Q&A Hub – Perfect for employee use, not external embedding or branding
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
32- Model L L M Selection
✅ Broadest Selection Among No-Code Platforms – 32 total models vs typical 3-5
Latest Models Included – GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5, Gemini 2.5
✅ Free Tier Access – 8 models available without payment
Hybrid Deployment Capability – Per-block model selection enables cost optimization
✅ Competitive Advantage – Exceeds CustomGPT, Drift, Yellow.ai in model variety
⚠️ Manual Selection Required – NO automatic routing based on query complexity
N/A
N/A
Whats App Native Integration
WhatsApp Business API – Native robust integration vs third-party workarounds
Full Chatbot Functionality – All features work on WhatsApp including AI, lead capture
Media Sharing – Images, documents, voice messages supported
✅ Consumer-Facing Strength – Strong for e-commerce, SMBs, global markets
✅ Competitive Gap – Progress, CustomGPT lack native WhatsApp integration
⚠️ B2B Messaging Gap – WhatsApp doesn't offset missing Slack/Teams
N/A
N/A
✅ Market Position – SMB-focused no-code chatbot with 4.8/5 G2 rating
✅ Pricing Advantage – $25/month vs $700/month (Progress), 10-100x cheaper
✅ 32-Model Differentiator – Broadest LLM selection among no-code platforms
✅ Free Tier Generosity – 100 credits, 2 chatbots, 8 models without credit card
✅ WhatsApp Strength – Native integration for consumer-facing businesses
❌ Enterprise Gaps – NO SOC 2/HIPAA/ISO 27001, NO SSO, NO human handoff
❌ B2B Messaging Gaps – NO native Slack/Teams/Telegram
❌ Developer Limitations – NO official SDKs, NO source citations, NO confidence scoring
Market Position – Turnkey internal knowledge search (Germany), not embeddable chatbot platform
Target Customers – Small-mid European teams needing GDPR compliance and simple deployment
Key Competitors – Glean, Guru, Notion AI; not customer-facing chatbots like CustomGPT
✅ Advantages – Simple scope, auto-sync, GDPR compliance, ~$30/user/month predictable pricing
⚠️ Use Case Fit – Perfect for <50 user teams, not API integrations or public chatbots
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
Limitations & Considerations
⚠️ Single Flow Management – Unwieldy for complex bots without folder organization
❌ NO Live Chat Support – Blended human-AI support unavailable without Zapier
⚠️ Separate Bots Per Channel – Need separate for website vs WhatsApp
⚠️ Barebones Analytics – Limited compared to enterprise platforms
❌ NO Flow Import/Export – Cannot copy or duplicate for version control
❌ Screen Reader Accessibility – Does not support blind users
⚠️ Setup Time Investment – Configuring tone and knowledge base not plug-and-play
⚠️ Integration Gaps – Heavy reliance on Zapier limits functionality
✅ Best for Small-to-Medium Bots – Not designed for massive enterprise projects
⚠️ No Public API – Cannot embed or call programmatically, standalone UI only
⚠️ No Messaging Integrations – No Slack, Teams, WhatsApp or chat platform connectors
⚠️ Limited Branding – Minimal customization, not white-label solution for public deployment
⚠️ No Advanced Controls – Cannot configure RAG parameters, model selection, retrieval strategies
⚠️ Seat-Based Scaling – Expensive for large orgs vs usage-based pricing models
✅ Best For – Small European teams (<50 users) prioritizing simplicity and GDPR over flexibility
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
Customization & Flexibility ( Behavior & Knowledge) N/A
✅ Auto-Sync Updates – Knowledge base updated without manual uploads or scheduling
⚠️ No Persona Controls – AI voice stays neutral, no tone or behavior customization
✅ Access Controls – Strong role-based permissions, admins set document visibility per user
Closed Environment – Great for content updates, limited for AI behavior or deployment
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
Additional Considerations N/A
✅ No-Fuss Internal Search – Employees use without coding, simple deployment for teams
⚠️ Not Public-Facing – Not ideal for customer chatbots or developer-heavy customization
Siloed Environment – Single AI search environment, not broad extensible platform
Simpler Scope – Less flexible than CustomGPT, but faster setup for internal use
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
N/A
⚠️ Undisclosed LLM – Likely GPT-3.5/GPT-4 but model details not publicly documented
⚠️ No Model Selection – Cannot switch LLMs or choose speed vs accuracy configurations
⚠️ Opaque Architecture – Context window size and capabilities not exposed to users
Simplicity Focus – Hides technical complexity, users ask questions and get answers
⚠️ No Fine-Tuning – Cannot customize model on domain data for specialized responses
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
N/A
Conversational RAG – Context-aware search over enterprise documents with follow-up support
✅ Auto-Sync – Repositories sync automatically, changes reflected almost instantly
Document Formats – PDF, DOCX, PPT, TXT and common enterprise formats supported
⚠️ No Advanced Controls – Chunking, embedding models, similarity thresholds not exposed
⚠️ Limited Transparency – No citation metrics or anti-hallucination details published
Closed System – Optimized for internal Q&A, limited visibility into retrieval architecture
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
N/A
✅ Internal Knowledge Search – Employees asking questions about company documents and policies
✅ Team Onboarding – New hires finding information without bothering colleagues
✅ Policy Lookup – HR, compliance, operational procedure retrieval for staff
✅ Small European Teams – GDPR-compliant internal search with EU data residency
⚠️ NOT SUITABLE FOR – Public chatbots, customer support, API integrations, multi-channel deployment
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
N/A
✅ GDPR Compliance – Germany-based with implicit EU data protection compliance
✅ German Data Residency – EU storage location for regional data sovereignty requirements
✅ Enterprise Privacy – Customer data isolated, encrypted in transit and at rest
✅ Role-Based Access – Built-in controls, admins set document visibility per user
⚠️ Limited Certifications – SOC 2, ISO 27001, HIPAA not publicly documented
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
N/A
Seat-Based Pricing – ~$30 per user per month
✅ Small Team Value – Affordable for teams under 50 users, predictable costs
⚠️ Scalability Cost – 100 users = $3,000/month, expensive for large organizations
Unlimited Content – No published document limits, gated only by user seats
Free Trial + Enterprise – Evaluation available, custom pricing for volume discounts
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
N/A
✅ Direct Support – Email, phone, chat with hands-on onboarding approach
✅ Quick Deployment – Minimal admin overhead, connect sources and start asking questions
⚠️ No Open Community – Closed solution, no plug-ins or user extensions
⚠️ No Developer Docs – No API documentation or programmatic access guides
Internal Roadmap – Updates from Pyx only, no user-contributed features
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
N/A
⚠️ NO Agent Capabilities – No autonomous agents, tool calling, or multi-agent orchestration
Conversational Search Only – Context-aware dialogue for Q&A, not agentic or autonomous behavior
Basic RAG Architecture – Standard retrieval without function calling, tool use, or workflows
⚠️ No External Actions – Cannot invoke APIs, execute code, query databases, or interact externally
Internal Knowledge Focus – Employee Q&A about documents, not task automation or workflows
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
R A G-as-a- Service Assessment N/A
⚠️ NOT TRUE RAG-AS-A-SERVICE – Standalone internal app, not API-accessible RAG platform
Turnkey Application – Self-contained Q&A tool vs developer-accessible RAG infrastructure
⚠️ No API Access – No REST API, SDKs, programmatic access unlike CustomGPT/Vectara
Closed Application – Web/desktop interface only, cannot build custom applications on top
SaaS vs RaaS – Software-as-a-Service (standalone app) NOT Retrieval-as-a-Service (API infrastructure)
Best Comparison Category – Internal search tools (Glean, Guru), not developer RAG platforms
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
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