Fix and Improve a Python RAG Chatbot Using OpenAI and LangChain

We are looking for an AI Engineer to review and improve a small Python based RAG chatbot. The chatbot currently uses OpenAI API, LangChain, embeddings, and a vector database to answer questions from uploaded documents. We need someone to identify the issue, improve document retrieval, and make the chatbot responses more accurate. The selected developer should have experience with: • Python and FastAPI • OpenAI API and Large Language Models • LangChain or LangGraph • RAG pipeline development • Embeddings and vector databases • Pinecone, ChromaDB, FAISS, or pgvector • Prompt engineering and response accuracy • AI chatbot debugging and API integration This is a small fixed price task for an experienced AI or Machine Learning Engineer. The initial budget is $25. More AI agent, RAG, Voice AI, and automation work may be available after successful completion. Please briefly describe your experience with RAG chatbots and mention which vector databases you have worked with.