First, paste the code I provided into any code editor. Then, to check the RAG capabilities, download the Python documentation and update the file path in the code according to your downloaded directory. After that, run the code and run this developer server [ http://localhost:5000 ] in any browser. Also, mak
flask==3.0.0
flask-cors==4.0.0
langchain==0.1.0
langchain-community==0.0.13
langchain-core==0.1.10
langchain-chroma==0.1.0
langchain-ollama==0.1.0
chromadb==0.4.22
pypdf==4.0.1
tiktoken==0.5.2
pydantic==2.5.3
e sure that the essential dependencies and the Ollama LLM are installed on your machine before running it.
:::
What it does:
A Python-powered AI chatbot that answers programming questions using RAG (Retrieval-Augmented Generation) technology.
How it works:
Tech Stack:
Key Features:
Use Case:
Helps developers get instant, accurate answers about Python programming by combining document retrieval with AI generation.


Github Link: https://github.com/devangdhakaai-create/Tensor-Flow-Ai-Agent/pull/1