RAG-Chatbot and Chatbot-with-RAG-and-LangChain
Both are educational implementations of RAG chatbots using LangChain, making them direct competitors offering similar functionality with different deployment approaches (Databutton vs. standalone).
About RAG-Chatbot
avrabyt/RAG-Chatbot
RAG enabled Chatbots using LangChain and Databutton
Implements PDF document indexing and semantic similarity search to augment LLM prompts with relevant context from uploaded files, with session-based index caching and secure API key management through Databutton's secret store. The architecture separates concerns into frontend (Streamlit/Databutton app), document processing pipeline (PDF parsing and vector indexing), and LLM integration, retrieving top-N semantically similar chunks before passing them to the language model for context-aware generation.
About Chatbot-with-RAG-and-LangChain
ThomasJanssen-tech/Chatbot-with-RAG-and-LangChain
Build a Chatbot which uses Retrieval Augmented Generation (RAG) to answer based on your own data!
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