deeepsig/rag-ollama
A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.
This system helps you build a custom question-answering tool that uses your own private or recent information, not just what's publicly available. You provide documents like company reports or recent articles, and it transforms them into an AI knowledge base. The output is an AI chatbot or assistant that can answer questions accurately based on your specific data, useful for researchers, analysts, or internal support teams.
No commits in the last 6 months.
Use this if you need an AI to answer questions using your specific, up-to-date, or proprietary documents rather than just general public knowledge.
Not ideal if you're looking for a simple, out-of-the-box chatbot without any custom data integration or if you're not comfortable with the technical setup involved.
Stars
42
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 25, 2024
Commits (30d)
0
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