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# Build a Complete OpenSource LLM RAG QA Chatbot — Flask Server

**[Python in Plain English](https://daily.dev/sources/inPlainEngHQ)** · 9 min read · 2 upvotes · 0 comments

## Summary

This post discusses how to build a robust Flask API Backend for a chatbot, including setting up the Flask architecture, handling environment variables, implementing rate limiting, and using Pinecone VectorStorage and MongoDB for document retrieval and index status verification.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://python.plainenglish.io/build-a-complete-opensource-llm-rag-qa-chatbot-flask-server-dc7938239a6b>

---

Tags: [#python](https://daily.dev/tags/python), [#backend](https://daily.dev/tags/backend), [#flask](https://daily.dev/tags/flask), [#raspberry-pi](https://daily.dev/tags/raspberry-pi)

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