zaldivards/ContextQA
ContextQA - The open-source tool for data-driven conversations
This tool helps you quickly set up a 'chat with your data' application, allowing you to ask questions and get answers directly from your documents and other information sources. You provide your business data, and it delivers conversational responses with relevant source citations, much like talking to an expert who has read all your files. Anyone who needs to extract insights from large volumes of text-based information, such as researchers, analysts, or customer support teams, would find this useful.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly deploy a custom chatbot that can answer questions based on your specific internal documents or a collection of knowledge, providing accurate, traceable answers.
Not ideal if you're looking for a simple, pre-trained general-purpose chatbot without integrating your own data sources or require advanced customization beyond core LLM and vector database settings.
Stars
22
Forks
5
Language
Python
License
MIT
Category
Last pushed
Sep 04, 2024
Commits (30d)
0
Dependencies
177
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