What are the main differences between Chatling and LangChain?

Chatling excels in Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility and Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card, scoring 85/100 in user ratings with N/A% accuracy. LangChain leads in Most popular LLM framework (72M+ downloads/month) and Extensive integration ecosystem (600+) with 87/100 overall rating and 86% accuracy. Key technical difference: Chatling focuses on 32 AI models including GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5/4/3.7 Sonnet, Gemini 2.5 Flash/Pro - broadest selection among no-code platforms while LangChain emphasizes Modular LLM framework. Pricing differs by $25/month.

Which is better for enterprises: Chatling or LangChain?

LangChain offers SOC 2 compliance for enterprise security. HIPAA compliance is available in LangChain. For scalability, both offer cloud-based deployment options. LangChain leads with 87/100 enterprise readiness score (84/100 enterprise features).

How much does Chatling cost vs LangChain?

Chatling starts at $25/monthly (freemium model), while LangChain begins at contact sales/monthly (freemium model). Both offer free tiers to get started, and free trials are available. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Chatling to LangChain?

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

What integrations do Chatling and LangChain support?

Chatling integrates with Zapier: 7,000+ apps with triggers (new contacts/conversations), actions (send messages), Website: WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop via JavaScript embed, WhatsApp Business API: native robust integration with media sharing, automated responses, HTTP Request blocks: custom API calls within visual builder for order lookups, CRM updates, CRITICAL GAPS: NO native Slack, Microsoft Teams, Telegram integrations - B2B messaging gap (7 integrations total). LangChain supports OpenAI, Anthropic, Google, AWS Bedrock, Azure AI (11 integrations available). Both offer REST APIs for custom integrations. LangChain provides 57% more integrations, with webhook support for real-time data sync.

What are the main differences between Chatling and Langchain?

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

Which is better for enterprises: Chatling or Langchain?

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

How much does Chatling cost vs Langchain?

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

Can I migrate from Chatling to Langchain?

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

What integrations do Chatling and Langchain support?

Chatling integrates with (multiple platforms). Langchain supports (various tools). API availability varies by plan. Integration coverage is comparable.

Chatling vs Langchain

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

More about Langchain More about Chatling Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Chatling and Langchain 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 Langchain, 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 Langchain if: you value most popular llm framework (72m+ downloads/month)

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 Langchain

Langchain is the most popular open-source framework for building llm applications. LangChain is a comprehensive AI development framework that simplifies building applications with LLMs through modular components, chains, and agent orchestration, offering both open-source tools and commercial platforms. Founded in 2022, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

87/100

Starting Price

Custom

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Langchain offers more competitive entry pricing. The platforms also differ in their primary focus: Chatbot Platform versus AI Framework. 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	Langchain	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 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)	100+ document loaders – PDF, CSV, JSON, HTML, Markdown, Notion, Confluence, GitHub via code Custom pipelines – Build proprietary ingestion for any data source with full control ⚠️ Code-first only – No UI for data upload; requires Python/JS development	1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
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	No built-in UI – Build your own with Streamlit, React, or custom frontend Slack/Discord examples – Community libraries available, but you handle coding ⚠️ DIY deployment – All integrations require custom development	Website embedding – Lightweight JS widget or iframe with customizable positioning CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
AI 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	RAG chains – Retrieval-augmented QA combining LLMs with vector stores Multi-turn memory – Configurable conversation memory modules Tool-calling agents – External API and tool execution capabilities ⚠️ No built-in citations – Manual implementation required for source links	✅ #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
Customization & Branding
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	Total flexibility – Design any UI you want from scratch ⚠️ No white-label features – No out-of-box branding tools ⚠️ Extra development – Custom frontend required for any UI	Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost 2-minute setup – No-code wizard with drag-and-drop interface Persona customization – Control AI personality, tone, response style via pre-prompts Visual theme editor – Real-time preview of branding changes Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
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	Model-agnostic – OpenAI, Anthropic, Cohere, Hugging Face, local models Any vector DB – FAISS, Pinecone, Weaviate, Chroma, Qdrant supported Self-hosted option – Run Llama, Mistral locally for data privacy Easy switching – Change providers with minimal code changes	GPT-5.1 models – Latest thinking models (Optimal & Smart variants) GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available Claude 4.5 – Anthropic's Opus available for Enterprise Auto model routing – Balances cost/performance automatically Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
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	Python & JS libraries – Import directly, no hosted REST API Largest LLM community – 100K+ GitHub stars, 50K+ Discord members Extensive docs – Tutorials, API reference, community plugins ⚠️ Programming required – No no-code or low-code options	REST API – Full-featured for agents, projects, data ingestion, chat queries Python SDK – Open-source `customgpt-client` with full API coverage Postman collections – Pre-built requests for rapid prototyping Webhooks – Real-time event notifications for conversations and leads OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
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	You control quality – Accuracy depends on LLM and prompt tuning DIY optimization – Response speed depends on your infrastructure ⚠️ No built-in benchmarks – Test and optimize yourself	Sub-second responses – Optimized RAG with vector search and multi-layer caching Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API Anti-hallucination tech – Responses grounded only in your provided content OpenGraph citations – Rich visual cards with titles, descriptions, images 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Pricing & Scalability
Free 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	Framework: Free – MIT license, no usage limits DIY scaling – Manage hosting, vector DB growth, optimization ⚠️ Total cost – LLM APIs + infra + dev time often exceeds managed platforms	Standard: $99/mo – 60M words, 10 bots Premium: $449/mo – 300M words, 100 bots Auto-scaling – Managed cloud scales with demand Flat rates – No per-query charges
Security & Privacy
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	N/A	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	LangSmith – Debugging and tracing for agent workflows ⚠️ No native dashboard – Requires LangSmith subscription or DIY	Real-time dashboard – Query volumes, token usage, response times Customer Intelligence – User behavior patterns, popular queries, knowledge gaps Conversation analytics – Full transcripts, resolution rates, common questions Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
Email-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	Active community – Discord, GitHub, Stack Overflow support 700+ integrations – Community-contributed plugins and tools ⚠️ No enterprise SLA – Community support only for free tier	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	No no-code interface – Developer-only framework Community wrappers – Streamlit, Gradio for basic UIs ⚠️ Custom dev required – Full end-to-end UX needs coding	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
Competitive Positioning
✅ 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 – Leading open-source LLM framework, largest developer community Target users – Developers/ML engineers wanting maximum flexibility vs CustomGPT – Weeks of coding vs 2-minute deployment; full control vs managed service vs Haystack/LlamaIndex – Larger community, more integrations NOT for: Non-technical users, rapid deployment, teams without ML expertise	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	⚠️ Programming mandatory – Python/JS skills required ⚠️ Weeks-months to production – Not rapid deployment ⚠️ DIY everything – Security, UI, monitoring, compliance ⚠️ Breaking changes – Frequent API updates require maintenance ⚠️ Hidden infrastructure costs – LLM + DB + hosting adds up Ideal for: Teams with ML engineers wanting maximum control	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
Security & Compliance
N/A	On-premise deployment – Run in your VPC for data sovereignty Self-hosted models – Llama, Mistral via Ollama for full privacy ⚠️ DIY security – No built-in encryption, auth, or compliance ⚠️ No SLA – Open-source means no uptime guarantees	SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance 256-bit AES encryption – Data at rest; SSL/TLS in transit SSO + 2FA + RBAC – Enterprise access controls with role-based permissions Data isolation – Never trains on customer data Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
N/A	Framework: FREE – MIT license, unlimited commercial use LangSmith Dev: Free – 5K traces/month for debugging LangSmith Plus: $39/seat/mo – Team collaboration, 10K traces ⚠️ Hidden costs – LLM APIs + vector DB + hosting + dev time	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
Use Cases
N/A	Custom RAG apps – Enterprise knowledge bases with full control Multi-step agents – Research, analysis, automation workflows Code assistance – Generation, review, documentation tools ⚠️ Weeks to deploy – Unlike 2-minute turnkey platforms	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
Core Agent Features
N/A	LangGraph – Low-level agentic framework launched 2024 Tool calling – Agents autonomously invoke APIs and functions Multi-step workflows – Average 7.7 steps per trace in 2024 Custom architectures – Build specialized agent systems	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 Capabilities
N/A	Full RAG toolkit – Loaders, splitters, embeddings, retrievers, chains 100+ vector stores – Pinecone, Chroma, Weaviate, FAISS, Milvus Hybrid search – Combine vector + keyword (BM25) retrieval Reranking – Cohere Rerank, cross-encoder models supported	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
R A G-as-a- Service Assessment
N/A	Platform type – FRAMEWORK, NOT RAG-AS-A-SERVICE DIY architecture – Build entire pipeline from scratch with code No managed infrastructure – You host vector DB, LLM, servers Best for: Teams building custom RAG with full control Alternative: For managed RaaS, use CustomGPT, Vectara, or Azure AI	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
A I Models
N/A	OpenAI – GPT-4, GPT-4 Turbo, GPT-3.5 with full control Anthropic – Claude 3 Opus/Sonnet with 200K context Hugging Face – 100K+ models including Llama, Mistral, Falcon Self-hosted – Ollama, GPT4All for complete privacy	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
Customization & Flexibility ( Behavior & Knowledge)
N/A	Full control – Prompts, retrieval, chains, agents customizable Custom logic – Add any behavioral rules or decision patterns Mix data sources – Combine multiple knowledge bases on the fly	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
Support & Documentation
N/A	Official docs – python.langchain.com with tutorials, API reference Community – 50K+ Discord, 7K+ GitHub discussions ⚠️ Doc quality mixed – Some gaps, rapidly changing APIs	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
Additional Considerations
N/A	Significant engineering investment – Weeks to months for production Hidden costs – Infrastructure often exceeds managed platform fees Breaking changes – Frequent updates require code maintenance Ideal for: Teams with dedicated ML engineers	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

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Final Thoughts

Final Verdict: Chatling vs Langchain

After analyzing features, pricing, performance, and user feedback, both Chatling and Langchain 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 Langchain

You value most popular llm framework (72m+ downloads/month)
Extensive integration ecosystem (600+)
Strong developer community

Best For: Most popular LLM framework (72M+ downloads/month)

Migration & Switching Considerations

Switching between Chatling and Langchain 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 Langchain 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 Langchain 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: January 19, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

Chatling vs Langchain