renardeinside/chatten
RAG application (backend & frontend) with sources retriveal and highlighting on the Databricks Platform
This project helps you build an intelligent chat assistant that can answer questions based on your internal documents, such as PDFs. You provide your documents, and the system allows users to ask questions in natural language, receiving precise answers with highlighted sources from your original files. Data scientists, MLOps engineers, or AI developers working on the Databricks platform would use this to deploy RAG applications.
No commits in the last 6 months.
Use this if you need to deploy a Retrieval Augmented Generation (RAG) chat application on Databricks that leverages your own documents for informed responses.
Not ideal if you are looking for a pre-built, production-ready RAG application without needing to customize or deploy it yourself on Databricks.
Stars
16
Forks
6
Language
Python
License
MIT
Category
Last pushed
Apr 29, 2025
Commits (30d)
0
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