LangChain vs Rasa
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
LangChain
Most popular framework for building LLM applications
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Rasa
Open-source conversational AI framework with full data control
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| RECATOOLS Score | 8.1 / 10 | 7.3 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Open Source |
| Free tier | Open source framework is free; LangSmith has a free developer tier | Full open source framework for self-hosting |
| Paid from | $39/month (LangSmith Plus) | Enterprise custom pricing |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 1m+ developers | 50000+ developers |
| Founded | 2022 | 2016 |
| Maker | Harrison Chase | Alan Nichol, Alex Weidauer |
| Verdict | Still the default starting point for LLM apps, and meaningfully more stable since LangChain 1.0 and LangGraph 1.0 shipped in October 2025 — agents now run on LangGraph's durable runtime, and the team has promised no brea... |
Rasa is the established open-source framework for building custom conversational assistants, giving developers full control over dialogue logic, NLU, and deployment. Its CALM approach blends LLMs for more natural flows w... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.