GURPREETKAURJETHRA/RAG-using-Llama3-Langchain-and-ChromaDB
RAG using Llama3, Langchain and ChromaDB
This project helps you build a system that can answer questions about your specific documents, even if a general AI model hasn't been trained on them. You provide your own documents, and the system allows you to ask questions about their content, delivering accurate answers. It's designed for developers and AI engineers who need to create custom, knowledge-driven AI applications.
131 stars. No commits in the last 6 months.
Use this if you are an AI engineer needing to build a custom question-answering system over your organization's internal documents or proprietary information.
Not ideal if you are looking for a ready-to-use application and do not have programming experience with large language models and vector databases.
Stars
131
Forks
35
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 24, 2024
Commits (30d)
0
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