mfmezger/conversational-agent-langchain

FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB

55
/ 100
Established

This tool helps non-technical users quickly get answers from their documents using AI. You provide your documents, and it creates a smart question-answering system that uses those documents as its knowledge base. It's designed for professionals who need to extract specific information or insights from large volumes of text without sifting through it manually.

246 stars.

Use this if you need to build a specialized AI chatbot that can accurately answer questions based on your specific internal documents, reports, or data.

Not ideal if you're looking for a general-purpose chatbot that answers broad questions without needing to reference your private data.

document-intelligence knowledge-management information-retrieval business-intelligence customer-support-automation
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

246

Forks

40

Language

Python

License

MIT

Last pushed

Mar 12, 2026

Commits (30d)

0

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