I will build a rag chatbot using python, langchain and a vector database

Want an AI chatbot that answers questions using your own documents and business data?

I will build a custom RAG chatbot using Python, LangChain, and vector databases to help users find accurate, relevant information from your knowledge base.

What I can build:

• Chat with PDFs, Word files, and text documents
• RAG chatbots for business knowledge bases
• Website content question-answering systems
• Document search using semantic embeddings
• AI assistants with context-aware responses
• Vector database integration and retrieval pipelines
• Custom chatbot APIs using FastAPI
• Source-grounded answers to reduce unsupported responses

Technologies: Python, LangChain, OpenAI API, embeddings, FAISS, ChromaDB, Pinecone, PostgreSQL with pgvector, and FastAPI.

I focus on building practical RAG solutions with relevant document retrieval, clear response generation, and maintainable code.

Whether you need a PDF chatbot, an internal company assistant, or a searchable knowledge base, I can help build a solution tailored to your requirements.

Please message me before ordering so we can discuss your documents, data sources, and required features.