Hands-On LangChain for LLMs App: Chat with Your Files

Author(s): Youssef Hosni

Originally published on Towards AI.

In previous articles, we have explored the journey from loading documents to creating a vector store, discussing the limitations of existing models in handling follow-up questions and engaging in real conversations.

The good news is that we’re addressing these issues by introducing chat history into LangChain. This addition enables the language model to consider previous interactions, allowing it to provide context-aware responses.

The article guides users through setting up their environment, adding memory to the chain, and building an end-to-end chatbot that empowers users to have interactive and context-sensitive conversations with their document-based language models.

Setting Up Working Environment & Getting StartedAdding Memory to Your ChainBuilding an End-to-End Chatbot

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Published via Towards AI