In this comprehensive guide, we compare Chatling and Ragie across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.
Overview
When choosing between Chatling and Ragie, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.
Quick Decision Guide
Choose Chatling if: you value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
Choose Ragie if: you value true multimodal support including audio/video
About Chatling
Chatling is no-code ai chatbot platform with 32-model llm selection. No-code AI chatbot platform with 32-model LLM selection and SMB-focused pricing starting at $25/month. Developed by Envision Labs Inc. (Ontario, Canada), Chatling balances visual builder simplicity with REST API v2 access and native WhatsApp integration. 4.8/5 G2 rating (53-63 reviews). Critical gaps: NO SOC 2/HIPAA certifications, NO native human handoff, NO official SDKs, NO source citations. Founded in Year not disclosed, headquartered in Ontario, Canada, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
85/100
Starting Price
$25/mo
About Ragie
Ragie is fully managed rag-as-a-service for developers. Ragie is a fully managed RAG-as-a-Service platform that enables developers to build AI applications connected to their data with simple APIs. Originally developed for Glue chat app, it offers multimodal support including audio/video RAG, advanced features like hybrid search, and seamless data source integrations. Founded in 2024, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
88/100
Starting Price
Custom
Key Differences at a Glance
In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Ragie offers more competitive entry pricing. The platforms also differ in their primary focus: Chatbot Platform versus RAG Platform. These differences make each platform better suited for specific use cases and organizational requirements.
⚠️ What This Comparison Covers
We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.
Detailed Feature Comparison
Chatling
Ragie
CustomGPTRECOMMENDED
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 content extraction
Sitemap Ingestion: Required for sites larger than 1,000 pages
Help Desk Integration: Zendesk and Zoho for importing help articles
Manual Upload: Files, text snippets, FAQs via dashboard interface
NO Cloud Storage: Google Drive, Dropbox, Notion, OneDrive require manual downloads before upload - significant workflow friction
NO YouTube Transcripts: Video content ingestion not supported
Automatic Syncing: Daily, weekly, or monthly schedules on paid plans - NO real-time continuous sync
API Resync: /resync endpoint for programmatic knowledge base updates
Comes with ready-made connectors for Google Drive, Gmail, Notion, Confluence, and more, so data syncs automatically.
Upload PDFs, DOCX, TXT, Markdown, or point it at a URL / sitemap to crawl an entire site and build your knowledge base.
Choose manual or automatic retraining, so your RAG stays up-to-date whenever content changes.
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.
Integrations & Channels
WhatsApp Business API: Native robust integration with full chatbot functionality, media sharing, automated responses
Website Embedding: Floating chat bubble (bottom-left/right), inline iframe, full-page deployment with custom domain support
Zapier Integration: 7,000+ apps with triggers (new contacts/conversations) and actions (send messages)
AI Intents: Train on example phrases for intent recognition without exact keyword matching
Visual Flow Builder: No-code interface with drag-and-drop conversation design
HTTP Request Blocks: Real-time API integrations within chatbot flows (e.g., order confirmations, CRM lookups)
Lead Capture: Built-in system variables for name, email, phone collection with embedded forms
Multi-language Detection: 85+ languages with automatic browser-based preference detection
Satisfaction Surveys: Helpful/unhelpful tracking at conversation end with analytics integration
CRITICAL LIMITATION: NO native human handoff - fallback collects contact info for follow-up vs live agent transfer
Third-Party Escalation: Requires Zapier integration to Zendesk, Freshdesk, or similar platforms - adds complexity and latency
AI Agents (Beta): Task-oriented assistants with intent detection, decision-making, API execution beyond simple chatbots
Agentic Retrieval: Next-generation multi-step retrieval engine designed for complex queries - decomposes questions, identifies relevant sources, self-checks results, compiles grounded answers with citations
Context-Aware MCP Server: Native Streamable HTTP MCP Server with Context-Aware descriptions enabling agents to understand actual knowledge base content for accurate tool routing
Multi-Step Reasoning: Agent-ready capabilities for breaking down complex queries into sequential retrieval operations with self-validation
Real-Time Indexing: Launch RAG pipelines for LLMs with immediate content updates and synchronization
Entity Extraction: Extract structured data from unstructured documents automatically for advanced querying
Summary Index: Avoid document affinity problems through intelligent summarization techniques
Multi-Turn Context: Maintains conversation history and context across dialogue turns for coherent multi-turn interactions
LIMITATION - No Built-In Chatbot UI: RAG-as-a-Service API platform requiring developers to build custom chat interfaces - not a turnkey chatbot solution
LIMITATION - No Lead Capture/Handoff: Focuses on retrieval infrastructure - lead generation and human escalation must be implemented at application layer
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
Free Tier Access: 8 models available without payment (GPT-4.1, GPT-4o, GPT-4o Mini, Claude 4 Sonnet, etc.)
Hybrid Deployment Capability: Per-block model selection enables using GPT-4o for complex queries, GPT-4o Mini for simple FAQs within same chatbot
Cost Optimization: Model flexibility allows balancing quality vs credit consumption per conversation stage
Temperature & Token Control: Exposed at both global and per-block levels for fine-tuned model behavior
Competitive Advantage: Exceeds CustomGPT, Drift, Yellow.ai, Lindy.ai in sheer model variety and flexibility
Manual Selection Required: NO automatic routing based on query complexity - users must configure model per use case
Credit System Integration: Different models consume different credit amounts - documented per model for budgeting
N/A
N/A
Whats App Native Integration ( Differentiator)
WhatsApp Business API: Native robust integration vs third-party workarounds required by many competitors
Full Chatbot Functionality: All chatbot features work on WhatsApp including AI responses, knowledge base queries, lead capture
Media Sharing: Images, documents, voice messages supported in WhatsApp conversations
Automated Responses: 24/7 WhatsApp availability with AI-powered replies
Consumer-Facing Strength: Strong for e-commerce, SMBs, global markets where WhatsApp dominates customer communication
Competitive Gap: Progress, CustomGPT, many RAG platforms lack native WhatsApp - Chatling advantage for consumer use cases
B2B Messaging Gap: WhatsApp strength doesn't offset missing Slack/Teams integrations for enterprise internal use
N/A
N/A
Multi- Lingual Support
85+ Languages Supported: Broad coverage for global deployments
Automatic Browser-Based Detection: Chatbot detects user language preference from browser settings and responds accordingly
NO Manual Configuration Required: Language switching happens automatically without admin setup
Interface Language: Configurable for chatbot UI elements (buttons, prompts, system messages)
Multi-Language Model Support: All 32 AI models support multilingual conversations
Knowledge Base Processing: Supports multi-language content ingestion and retrieval
Global Customer Base: Valuable for international businesses serving diverse markets without language barriers
N/A
N/A
R A G-as-a- Service Assessment
Platform Type: NO-CODE CHATBOT PLATFORM with RAG capabilities - NOT pure RAG-as-a-Service like CustomGPT or Progress
RAG Implementation: Knowledge base grounding embedded within visual chatbot builder vs API-first RAG backend
Developer Access: REST API v2 provides programmatic knowledge base queries (/ai/kb/chat endpoint) but NO official SDKs
Transparency Limitation: NO source citations displayed to end users - responses don't show which documents informed answers
NO Confidence Scoring: Hallucination detection mechanisms not documented - only temperature control
Target Market: SMBs and non-technical teams prioritizing rapid chatbot deployment vs developers needing deep RAG customization
Comparison Validity: Architectural comparison to CustomGPT.ai is partially valid - both offer RAG but Chatling emphasizes no-code chatbot vs developer-first RAG API
Use Case Fit: Organizations prioritizing customer-facing chatbots with simple knowledge retrieval over complex RAG pipelines, embeddings control, or advanced retrieval strategies
Platform Type: TRUE RAG-AS-A-SERVICE API PLATFORM - fully managed developer-first infrastructure announced August 2024 with $5.5M seed funding
Core Mission: Enable developers to build AI applications connected to their own data with outstanding RAG results in record time using managed infrastructure
Developer Target Market: Built by industry veterans (Bob Remeika, Mohammed Rafiq) for development teams requiring production-grade RAG without infrastructure management
API-First Architecture: TypeScript and Python SDKs with robust data ingest pipeline and retrieval API using latest RAG techniques for chunking, searching, re-ranking
RAG Technology Leadership: Advanced features include Summary Index (avoiding document affinity), Entity Extraction (structured data from unstructured), Agentic Retrieval (multi-step reasoning), Context-Aware MCP Server
Managed Service Benefits: Free developer tier, pro plan for production, enterprise for scale - eliminates infrastructure complexity while maintaining developer control
Security & Compliance: AES-256 storage, TLS transmission, GDPR/SOC 2 Type II/HIPAA/CASA/CCPA certified - zero customer data usage for model training
Data Source Integration: Ragie Connect handles authentication and auto-sync from Google Drive, Salesforce, Notion, Confluence with real-time indexing
LIMITATION vs No-Code Platforms: NO native chat widgets, Slack/WhatsApp integrations, visual chatbot builders, analytics dashboards, or lead capture/handoff - requires custom UI development
Comparison Validity: Architectural comparison to CustomGPT.ai is VALID but highlights different priorities - Ragie.ai managed RAG infrastructure vs CustomGPT likely more accessible no-code deployment
Use Case Fit: Development teams building custom RAG applications requiring managed infrastructure, enterprises needing production-grade retrieval with agent-ready capabilities, organizations wanting security compliance without infrastructure overhead
NOT Ideal For: Non-technical teams seeking turnkey chatbot solutions, businesses requiring pre-built UI widgets, organizations needing immediate deployment without developer resources
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: SMB-focused no-code chatbot platform with strongest appeal to non-technical teams and budget-conscious startups
32-Model Differentiator: Broadest LLM selection among no-code platforms - exceeds competitors in model flexibility
Free Tier Generosity: 100 AI credits, 2 chatbots, 8 models without credit card - strongest trial experience for evaluation
WhatsApp Strength: Native integration vs third-party workarounds - competitive advantage for consumer-facing businesses
G2 Validation: 4.8/5 rating from 53-63 reviews with reliability praised ("chatbots have never gone down")
vs. CustomGPT: Chatling offers no-code simplicity + WhatsApp vs CustomGPT developer-first RAG with deeper API/SDK access
vs. Progress: Chatling $25/month + visual builder vs Progress $700/month + REMi quality monitoring + enterprise compliance
vs. Drift: Chatling customer support automation vs Drift B2B sales engagement - different use case focus
vs. Lindy.ai: Chatling has REST API v2 vs Lindy NO public API - developer accessibility advantage
Enterprise Gaps: NO SOC 2/HIPAA/ISO 27001, NO SSO, NO human handoff - disqualifies for regulated industries and large enterprises
B2B Messaging Gaps: NO native Slack/Teams/Telegram - limits enterprise internal use cases vs omnichannel competitors
Developer Limitations: NO official SDKs, NO source citations, NO confidence scoring - gaps vs developer-focused RAG platforms
Market Presence: Absent from Product Hunt, AppSumo vs competitors - limited growth marketing exposure
Market position: Developer-friendly RAG platform balancing no-code dashboard usability with API flexibility, focused on customer support workflows and multi-channel deployment
Target customers: Small to mid-size businesses needing quick chatbot deployment, support teams requiring multi-channel presence (Slack, Telegram, WhatsApp, Messenger, Teams), and developers wanting flexible API with straightforward pricing
Key competitors: Chatbase.co, Botsonic, SiteGPT, CustomGPT, and other SMB-focused no-code chatbot platforms
Competitive advantages: Hybrid search with re-ranking and smart partitioning for improved accuracy, headless SourceSync API for custom RAG backends, "Functions" feature enabling bot actions (tickets, CRM updates), 95+ language support, ready-made Google Drive/Gmail/Notion/Confluence connectors, and flexible mode switching between "fast" (GPT-4o-mini) and "accurate" (GPT-4o)
Pricing advantage: Mid-range at ~$79/month (Growth) and ~$259/month (Pro/Scale); straightforward tiered pricing without confusing jumps; scales smoothly with message credits and capacity add-ons; best value for growing teams needing multi-channel support
Use case fit: Ideal for support teams needing multi-channel chatbot deployment (Slack, WhatsApp, Teams, Messenger, Telegram), developers wanting simple REST API without heavy SDK requirements, and SMBs requiring webhook/Zapier automation for CRM and ticket system integration
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-only hosted on DigitalOcean
Data Center: Amsterdam (DigitalOcean) for GDPR compliance with EU data residency
Website Embedding: Three modes - floating chat bubble (customizable position), inline iframe for page sections, full-page deployment
Custom Domain Support: Branded chatbot URLs available for white-labeled deployments
Domain Whitelisting: Security control limiting widget embedding to authorized domains
Mobile Deployment: NO native SDKs - app integration requires webview embedding
NO Multi-Region: Single data center (Amsterdam) - no US, Asia-Pacific, or other regional options documented
NO On-Premise: Cannot deploy on private infrastructure or air-gapped environments
N/A
N/A
Customer Feedback & Case Studies
G2 Rating: 4.8/5 from 53-63 reviews with strong reliability scores
Trustpilot Rating: 4.3/5 from 8 reviews
Support Quality (G2): 9.2/10 despite email-only channel and response time concerns
Setup Time Praise: "5-minute setup" consistently highlighted by users as genuine rapid deployment
Reliability Testimonial: "Chatbots have never gone down" - uptime performance praised
Support Deflection: One user reported 45% of support questions resolved, reducing email inquiries from 1,500+ monthly
Large-Scale Deployment: User uploaded 4,000+ website URLs with "reliable answers in real time"
Fine-Tuning from Traffic: "Game changer" - ability to improve from live conversation data
Recurring Criticism: Single flow architecture unwieldy for complex bots, NO import/export flows, NO screen reader accessibility, email support can be slow
NO Named Enterprise Customers: Public case studies limited to G2/Trustpilot testimonials vs named Fortune 500 deployments
N/A
N/A
A I Models
Free Tier (8 Models): GPT-4.1, GPT-4o, GPT-4o Mini, GPT-4, Claude 4 Sonnet, Claude 3.5 Haiku without payment
Paid Tiers (32 Total): GPT-5, GPT-5 Mini, GPT-5 Nano, GPT-4.5, o4 Mini, o3 Mini, Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Opus, Claude 3.7 Sonnet, Gemini 2.5 Flash, Gemini 2.5 Pro, Gemini 2.0 Flash - broadest selection among no-code platforms
Model Flexibility: Configure globally per chatbot OR per individual AI response block for hybrid deployments optimizing cost-quality balance
Temperature & Max Tokens: Exposed at both global and per-block levels for fine-tuned control over creativity and verbosity
Manual Selection Only: No query complexity-based automatic model routing - users manually configure model per use case
Credit Consumption: 1 credit per AI response on GPT-4o, consumption varies by model with monthly reset (no carryover)
Competitive Advantage: 32-model roster exceeds most no-code platforms (Botsonic, Chatbase, SiteGPT) in LLM flexibility
OpenAI GPT-4o: Primary "accurate" mode for depth and comprehensive analysis - highest quality responses with advanced reasoning
OpenAI GPT-4o-mini: "Fast" mode for speed-optimized responses - balances quality with rapid response times for high-volume scenarios
Claude 3.5 Sonnet Integration: Confirmed support through RAG-as-a-Service architecture - enables Anthropic Claude model deployment for production systems
Flexible Model Selection: Switch between "fast" and "accurate" modes per chatbot configuration - adapt to specific use case requirements
Mode Toggle: Simple dashboard control to flip between GPT-4o-mini (speed) and GPT-4o (depth) without code changes
2024 Model Support: Updated for latest models including gpt-4o-mini with improved long-context behavior and minimal performance deterioration
Performance Optimization: Modern LLMs (gpt-4o, claude-3.5-sonnet, gpt-4o-mini) show little to no degradation as context length increases - ideal for RAG applications
No Model Agnosticism: Focused on OpenAI and Claude ecosystems - not designed for Llama, Mistral, or custom model deployment
Automatic Updates: Platform maintains compatibility with latest OpenAI and Anthropic model releases automatically
Primary models: GPT-4, GPT-3.5 Turbo from OpenAI, and Anthropic's Claude 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
Knowledge Base Training: Upload documents (PDF, DOCX, TXT, CSV) and website URLs to train chatbot on custom content
Retrieval-Augmented Responses: Grounds answers in uploaded knowledge base for factual accuracy and reduced hallucinations compared to pure LLM responses
Auto-Retraining: Daily, weekly, or monthly schedules on paid plans - NO real-time continuous sync with cloud storage
Simple RAG Workflow: No advanced features like semantic chunking controls, confidence scoring, or source citations - basic upload-and-query model
Manual Updates: Knowledge base updates require manual re-upload or retraining via dashboard or API /resync endpoint
NO Source Citations: Responses don't show which specific documents or URLs informed each answer - reduces transparency vs competitors (CustomGPT, Progress)
NO Confidence Scoring: No hallucination detection mechanisms documented - only indirect temperature control
Best for Simple Bots: Works well for small to medium-sized knowledge bases (500K-90M characters) - not designed for massive enterprise deployments
Performance Claims: 45% support question resolution, 4,000+ URLs processed with "reliable answers in real time" per user testimonials
Retrieval-Augmented Generation: Core RAG architecture providing accurate, context-aware answers pulled exclusively from your data - reduces hallucinations dramatically
Hybrid Search: Combines semantic vector search with keyword-based retrieval for comprehensive document matching
Re-Ranking Engine: Advanced re-ranking algorithm surfaces most relevant content from retrieved documents - improves answer precision
Smart Partitioning: Intelligent document chunking and partitioning for optimized retrieval across large knowledge bases
SourceSync Headless API: Fully customizable retrieval layer for developers building custom RAG backends without UI constraints
Multi-Turn Conversation: Maintains full session history and context across dialogue turns for coherent long conversations
Citation Support: Answers grounded in source documents with traceable references - transparency into information sources
Automatic Retraining: Choose manual or automatic knowledge base updates - keeps RAG system synchronized with latest content changes
Ready-Made Connectors: Google Drive, Gmail, Notion, Confluence integrations enable automatic data sync for continuous RAG updates
Multi-Format Ingestion: PDF, DOCX, TXT, Markdown, URL crawling, and sitemap ingestion for comprehensive knowledge base building
95+ Language Support: Multilingual RAG capabilities handling diverse global customer bases without separate configurations
Fast vs Accurate Modes: "Fast mode" skims essentials for speedy replies; detailed mode provides comprehensive analysis when depth matters
Fallback Mechanisms: Human handoff and fallback messages keep users supported when bot confidence is low
Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks
RAG Performance
Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content
Benchmark Details
Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification
Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times
Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words
Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management
Source verification: Always cites sources so users can verify facts on the spot
Use Cases
Website Chatbots: Quick embedding on websites for customer support and lead generation with simple JavaScript widget
WhatsApp Business: Native WhatsApp integration for conversational commerce and customer engagement on mobile-first platforms
Customer Support Automation: FAQ automation and basic support ticket routing reducing email inquiries by 45% (user testimonial: 1,500+ monthly inquiries)
Lead Generation: Built-in lead capture with system variables (name, email, phone) and qualification flows for sales pipeline building
Multi-Language Support: Automatic browser-based language detection across 85+ languages for global SMB audiences
Zapier Workflows: Connect to 7,000+ apps through Zapier for sales/marketing automation without coding
HTTP Request Actions: Custom API calls within visual builder for order lookups, CRM updates, external automations
E-commerce Support: Product information, order status, customer inquiry automation for online stores
SMB-Focused: Designed for small to mid-size businesses with straightforward chatbot needs and limited technical resources (5-minute setup time)
Customer Support Chatbots: Deploy self-service bots retrieving accurate answers from help articles, manuals, past tickets - reduce support ticket volume up to 70%
Internal AI Assistants: Power employee-facing assistants with company-specific knowledge from Google Drive, Notion, Confluence - instant answers across enterprise tools
Multi-Channel Support: Unified chatbot deployment across Slack, Telegram, WhatsApp, Facebook Messenger, Microsoft Teams - consistent support experience everywhere
Website Chat Widgets: Embed conversational AI on websites for real-time customer engagement, lead capture, and instant question answering
Sales Enablement: Surface relevant product data and customer interaction insights for sales teams - precise, high-recall retrieval from sales collateral
Legal Research Tools: Query legal texts and regulatory frameworks with high accuracy and contextual understanding - cite sources transparently
Compliance & Policy Assistants: Internal bots answering employee questions about company policies, compliance requirements, HR procedures from knowledge bases
Product Documentation: Technical documentation chatbots for developers and customers - quick answers from API docs, tutorials, troubleshooting guides
Educational Assistants: Course material Q&A, student support, academic research assistance with citation-backed responses from course content
CRM Integration: "Functions" feature enables bots to create tickets, update CRM records, trigger workflows directly from chat conversations
Enterprise SaaS Products: Embed RAG-powered assistance into SaaS applications for context-rich user support and feature discovery
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)
E-commerce: Product recommendations, order assistance, customer inquiries with API integration to 5,000+ apps via Zapier
SaaS onboarding: User guides, feature explanations, troubleshooting with multi-agent support for different teams
Security & Compliance
GDPR Compliant: EU data residency (DigitalOcean Amsterdam data center) with Data Processing Agreement and Standard Contractual Clauses
NO Training on Customer Data: OpenAI, Anthropic, Google agreements explicitly prohibit using Chatling customer content for model training
Trust Center: trust.chatling.ai with security documentation, sub-processor lists, and compliance details
Data Retention: Continues while accounts remain active, permanent deletion available upon request for GDPR compliance
Cloud Security: Data encryption in transit (HTTPS/TLS) and at rest following security best practices
Domain Whitelisting: Security control limiting widget embedding to authorized domains
CRITICAL GAPS FOR ENTERPRISE: NO SOC 2, HIPAA, or ISO 27001 certifications - blocks regulated industry adoption (healthcare, finance, government)
NO SSO/SAML Support: Enterprise identity provider integration not documented - limits large enterprise adoption
NO IP Restrictions: Cannot limit access to specific IP ranges for security compliance
NO Audit Logs: Beyond basic analytics - compliance tracking and forensic capabilities limited
Single Data Center: Amsterdam only - no US, Asia-Pacific, or other regional data residency options for compliance
HTTPS/TLS Encryption: Industry-standard transport layer security encrypting all data in transit between clients and servers
Data at Rest Encryption: Encrypted storage protecting customer data and knowledge bases from unauthorized access
Workspace Data Isolation: Customer data stays isolated within dedicated workspaces - no cross-tenant information leakage
SOC 2 Roadmap: Formal SOC 2 Type II certification in progress - planned compliance milestone for enterprise customers
GDPR Considerations: Data handling aligns with GDPR principles - customer data processing under user control
Domain Allowlisting: Lock chatbots to approved domains for enhanced security - prevent unauthorized embedding or access
Access Controls: Dashboard-level permissions and API key management for secure multi-user team access
Data Retention: Configurable data retention policies for conversation histories and uploaded documents
Audit Logging: Activity tracking for compliance monitoring and security incident investigation
Third-Party Dependencies: Relies on OpenAI and Anthropic cloud APIs - inherits their security certifications (OpenAI SOC 2 Type II, Anthropic security standards)
No On-Premise Option: Cloud-only SaaS deployment - not suitable for air-gapped or on-premise requirements
Data Processing Agreement: Standard DPA available for enterprise customers requiring contractual data protection commitments
Encryption: SSL/TLS for data in transit, 256-bit AES encryption for data at rest
SOC 2 Type II certification: Industry-leading security standards with regular third-party audits
Security Certifications
GDPR compliance: Full compliance with European data protection regulations, ensuring data privacy and user rights
Access controls: Role-based access control (RBAC), two-factor authentication (2FA), SSO integration for enterprise security
Data isolation: Customer data stays isolated and private - platform never trains on user data
Domain allowlisting: Ensures chatbot appears only on approved sites for security and brand protection
Secure deployments: ChatGPT Plugin support for private use cases with controlled access
Unlimited Non-AI Chats: All tiers include unlimited non-AI conversations - only AI-powered responses consume credits
14-Day Money-Back Guarantee: Applies to initial purchases for risk-free testing
Add-Ons Available: Extra credits, characters, seats, and chatbots purchasable separately when plan limits exceeded
Credit System: Monthly reset with no carryover - usage planning required to avoid service interruption at 100% consumption
Competitive SMB Positioning: $25/month entry vs $700/month (Progress), $30K+/year (Drift, Yellow.ai) - 10-100x cheaper for small businesses
Transparent Pricing: No hidden fees, confusing tier jumps, or expensive add-on stacking costs
Free Trial: 7-day free trial with full feature access - test everything risk-free before commitment
Growth Plan: ~$79/month - ideal for small teams starting with chatbot deployment and basic multi-channel support
Pro/Scale Plan: ~$259/month - expanded capacity with increased message credits, bots, pages crawled, and file uploads
Enterprise Plan: Custom pricing for large deployments - tailored capacity, dedicated support, SLA commitments
Message Credits System: Pay for usage through message credits - scales costs with actual chatbot utilization
Capacity Scaling: Add message credits, additional bots, crawl pages, and upload limits as you grow - no plan switching required
Multi-Bot Support: Spin up multiple chatbots under one account - manage different teams, domains, or use cases independently
Smooth Scaling: Designed to scale costs predictably without linear cost explosions - efficient pricing for growing businesses
Transparent Pricing: Straightforward tiered structure without hidden fees or confusing per-feature charges
Cost Predictability: Fixed monthly subscription with capacity limits - budget-friendly for SMBs vs unpredictable pay-per-API-call models
Best Value: Mid-range pricing competitive with Chatbase, SiteGPT, Botsonic - best value for multi-channel support teams
Annual Discounts: Likely available for annual commitments - standard SaaS discount practices apply
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
Email-Only Support: support@chatling.ai - NO live chat, phone support, or published SLAs (email support can be slow per reviews)
G2 Support Rating: 9.2/10 quality despite email-only channel and response time concerns
Comprehensive Documentation: docs.chatling.ai with getting started guides, API reference, integration tutorials, flow builder instructions
Video Tutorials: Supplement written documentation for visual learners
Action Tutorial Library: Practical HTTP request examples for common integrations (e.g., "Fetch and Email Order Confirmation")
Trust Center: trust.chatling.ai for security documentation and compliance details
REST API v2: https://api.chatling.ai/v2/ with Bearer token authentication and 300 requests/minute rate limit
MISSING ECOSYSTEM: NO community forum, Discord, Slack workspace, or public status page for peer support
NO Public Roadmap: Feature development transparency limited compared to competitors
Enterprise Support: Requires contacting sales - no dedicated support tiers publicly documented
Email Support: Standard email support channel for troubleshooting, feature questions, and technical assistance
Submit a Request Form: Dedicated form for feature requests, integration suggestions, and custom needs
REST API Documentation: Clear API docs with live examples covering bot management, data ingestion, query endpoints
Dashboard Guides: In-platform guidance for no-code users - visual walkthrough of configuration and deployment
Daily Email Digests: Automated summaries of chatbot performance, conversation metrics, and key insights without extra logins
Blog & Resources: Growing content library with blog posts, Product Hunt launches, case studies, and best practices
Partner Program: Agency partnership program for consultants and implementers - ecosystem development for resellers
Live Demo: Interactive demo environment for evaluating platform capabilities before trial signup
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
Single Flow Management: Larger bots get unwieldy because everything lives inside single flow - no folder organization like ManyChat for complex conversation trees
NO Live Chat Support: Doesn't include live chat feature - blended human-AI support approach unavailable without Zapier workarounds
Separate Bots Per Channel: Need to build separate chatbot for website vs WhatsApp - no unified multi-channel bot creation
Limited Advanced Features: Once you need fallback behavior, confidence scoring, or content indexing control, limitations appear
Barebones Analytics: Analytics pretty barebones compared to enterprise platforms with detailed conversation intelligence and custom report builders
Knowledge Base Management Challenges: For e-shop or site with lots of pages, nightmare to sort which pages to add - no Excel import for bulk management
Data Quality Dependency: If data isn't clean, bot might pull irrelevant answers - heavily dependent on training data quality and curation
NO Flow Import/Export: Cannot import or export flows, no option to copy or duplicate full group of blocks for version control
Screen Reader Accessibility: Does not support accessibility for blind users using screen readers - inclusivity limitation cited in reviews
Setup Time Investment: Configuring chatbot tone takes manual effort, assembling strong knowledge base not plug-and-play despite 5-minute claims
Learning Curve: Takes while to learn how to use builder and tools despite drag-and-drop interface and visual design
Integration Gaps: Heavy reliance on Zapier might limit functionality if service experiences downtime - not all third-party platforms supported natively
Interface Overwhelm: Drag-and-drop can be overwhelming for new users unfamiliar with chatbot design principles and flow logic
Best for Small-to-Medium Bots: Works best for small to medium-sized bots rather than massive enterprise-level projects with complex requirements
B2B Messaging Gaps: NO native Slack, Microsoft Teams, or Telegram integrations - limits enterprise internal use cases
NO Official SDKs: Must build own HTTP clients or rely on community implementations - no official JavaScript or Python SDKs
Enterprise Compliance Gaps: NO SOC 2, HIPAA, ISO 27001 certifications disqualifies platform for regulated industries (healthcare, finance, government)
No Multi-Language SDKs: REST API only - no official Python, JavaScript, Java SDKs yet; developers must use raw HTTP requests
OpenAI/Claude Dependency: Tied to OpenAI and Anthropic models - cannot deploy Llama, Mistral, or custom open-source models
Cloud-Only Deployment: SaaS-only platform - no self-hosting, on-premise, or air-gapped deployment options for regulated industries
Limited Model Selection: Only GPT-4o and GPT-4o-mini toggle - no granular model selection or multi-model routing based on query complexity
No Enterprise Certifications: SOC 2 Type II on roadmap but not yet achieved - may disqualify for enterprise procurement requiring active certifications
Message Credit Limits: Plans have message credit caps - high-volume scenarios require plan upgrades or Enterprise custom pricing
Crawler Limitations: URL and sitemap crawling scope limited by plan tier - large websites may require higher tiers
No Advanced Analytics: Basic dashboard metrics - not as comprehensive as dedicated analytics platforms for deep conversation analysis
Retraining Workflow: Manual retraining required unless automatic mode enabled - knowledge base updates not always real-time
Functions Feature Complexity: "Functions" for bot actions (tickets, CRM) require technical setup - not fully no-code for advanced workflows
Limited Customization: Moderate UI customization - not as extensive as fully white-labeled or completely custom-built solutions
No Advanced RAG Features: Missing GraphRAG, knowledge graphs, agentic workflows, or advanced retrieval strategies found in developer-first platforms
Support Response Times: Email-based support may be slower than platforms offering live chat or phone support on standard plans
Emerging Platform: Newer platform vs established competitors - smaller ecosystem of integrations and third-party tools
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-4, GPT-3.5) and Anthropic (Claude) - 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
Additional Considerations
Simplicity as Strength: Platform strongest feature is simplicity designed so anyone regardless of technical background can build powerful GPT-enabled chatbot quickly
No-Code Accessibility: Drag-and-drop interface makes creating AI chatbots accessible to non-technical users with minimal learning curve
Multilingual Versatility: Supports over 85 languages ensuring chatbot can communicate with diverse linguistic backgrounds automatically
Integration Flexibility: Seamless integration with HubSpot, Zendesk, Zoho, Google Sheets, Cal.com, and Zapier for workflow automation
Cost-Effective Free Plan: Unique free plan doesn't cap conversations - if you don't need AI-powered replies, stay free forever making it most cost-effective for SMBs
Latest AI Models: Powered by latest large language models including GPT, Gemini, and Claude ensuring cutting-edge performance
WhatsApp Native Integration: Works seamlessly on websites and WhatsApp providing mobile-first customer engagement capabilities
Proven Reliability: G2 reviews praise "chatbots have never gone down" with 4.8/5 rating from 53-63 reviews demonstrating strong uptime
Support Deflection Success: User reported 45% of support questions resolved reducing email inquiries from 1,500+ monthly for efficiency gains
Security & Privacy: Industry-standard security with data encryption in transit and at rest, GDPR compliant with regular security audits
Training Flexibility: Upload documents, add websites, connect data sources to train AI chatbot automatically on custom content
Trade-Off: Simplicity vs Advanced Features: Exceptional usability and ease comes at cost of advanced features like custom flows, live chat, enterprise compliance
Best Fit: Small to mid-size businesses prioritizing rapid deployment, simplicity, and cost-effectiveness over enterprise-grade features and compliance
"Functions" feature lets the bot perform real actions (e.g., make a ticket) right in the chat.
Headless RAG API (SourceSync) gives devs a fully customizable retrieval layer.
Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
Gets you to value quickly: launch a functional AI assistant in minutes.
Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Core Chatbot Features
AI-Powered Responses: Accurate, round-the-clock customer support trained on business data from URLs, FAQs, knowledge bases, documents, text inputs
No-Code Visual Builder: Intuitive drag-and-drop builder requiring no coding expertise - heart of Chatling 2.0 update and game-changer for non-technical users
Multi-Turn Conversations: Maintains conversation history and context for natural, flowing dialogues rather than treating each query independently
Multi-Language Support: 85+ languages with automatic browser-based language detection - bot responds in user's detected language without manual configuration
24/7 Availability: Operates around the clock ensuring customers receive feedback when needed without human intervention
Lead Capture Forms: Built-in form builder for embedding within conversation flows to collect customer information seamlessly
Analytics & Insights: Tracks customer conversations to identify gaps in support resources with visual metrics, heatmaps, and trend graphs
Customization Options: Tailor every aspect from chat interface to conversational logic matching brand tone and style with color picker, icon uploader, settings toggles
Integration Capabilities: Easily integrates with websites (WordPress, Squarespace, Shopify) and platforms like HubSpot, Zendesk, Zoho, Zapier
Multiple Chatbots: Create multiple chatbots per account (1 on Free, 2 on Pro, 5 on Pro, 35 on Ultimate) for different use cases
Conversation Management: Real-time monitoring, message history viewing, popular question identification for knowledge base optimization
45% Resolution Rate: User testimonial reports 45% of support questions successfully resolved with email reduction from 1,500+ monthly inquiries
Uses retrieval-augmented generation to give accurate, context-aware answers pulled only from your data—so fewer hallucinations.
Handles multi-turn chats, keeps full session history, and supports 95+ languages out of the box.
Captures leads automatically and lets users escalate to a human whenever needed.
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.
After analyzing features, pricing, performance, and user feedback, both Chatling and Ragie are capable platforms that serve different market segments and use cases effectively.
When to Choose Chatling
You value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card
Unlimited non-AI chats across all tiers reduces usage anxiety and cost unpredictability
Best For: Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility
When to Choose Ragie
You value true multimodal support including audio/video
Extremely developer-friendly with simple APIs
Fully managed service - no infrastructure hassle
Best For: True multimodal support including audio/video
Migration & Switching Considerations
Switching between Chatling and Ragie requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.
Pricing Comparison Summary
Chatling starts at $25/month, while Ragie begins at custom pricing. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.
Our Recommendation Process
Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality
For most organizations, the decision between Chatling and Ragie comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.
📚 Next Steps
Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.
• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements
Last updated: December 6, 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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