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LangChain vs Rasa
August 15, 2025 | Author: Sandeep Sharma
9★
LangChain is a framework designed to simplify the creation of applications and AI agents using large language models.
9★
Open source conversational AI platform. Build contextual AI assistants and chatbots in text and voice with our open source machine learning framework.
See also:
Top 10 Chatbot Builders
Top 10 Chatbot Builders
LangChain and Rasa are both platforms for developing corporate and industrial chatbots and AI agents (based on language models and conversational AI). They allow you to connect external data sources: databases, backend systems, APIs, messengers, web search, etc. to train bots and retrieve information in production mode. By default they provide no-code app builder but you can customize features using Python (LangChain also supports JavaScript). Both platforms are available open-source on GitHub and have their own developer communities.
But LangChain (appeared in 2022) is originally a chatbot builder that was repositioned for AI agents. It has broader integration capabilities with cloud services (AWS/GCP/Azure), parses data well from PDF, websites (supports RAG technology - generation with enrichment from search). Thanks to the modular architecture, you can easily replace LLM models (OpenAI, Anthropic, Hugging Face, etc.) without significant code changes
Rasa (2017) is a German platform/service for creating LLM applications. It combines rule-based approach and ML models for recognizing user intent. It's known for advanced dialog management system, tuned for detailed scenarios and context control. Developers can flexibly fine-tune NLP models to suit the application's scenarios.
See also: Top 10 Chatbot Builders
But LangChain (appeared in 2022) is originally a chatbot builder that was repositioned for AI agents. It has broader integration capabilities with cloud services (AWS/GCP/Azure), parses data well from PDF, websites (supports RAG technology - generation with enrichment from search). Thanks to the modular architecture, you can easily replace LLM models (OpenAI, Anthropic, Hugging Face, etc.) without significant code changes
Rasa (2017) is a German platform/service for creating LLM applications. It combines rule-based approach and ML models for recognizing user intent. It's known for advanced dialog management system, tuned for detailed scenarios and context control. Developers can flexibly fine-tune NLP models to suit the application's scenarios.
See also: Top 10 Chatbot Builders
