I will build a rag ai chatbot for your pdfs and documents

I will build a custom Retrieval-Augmented Generation (RAG) AI chatbot that can answer questions using your PDFs, documents, policies, manuals, reports, or knowledge-base content.

The chatbot will retrieve relevant information from your documents before generating a response, helping produce more accurate and source-grounded answers.

I can build the system using Python, LangChain, OpenAI or Hugging Face models, and vector search with FAISS. For more advanced projects, I can also implement BM25 or hybrid retrieval to improve document search quality.

Depending on your package, I can provide:

• PDF and document ingestion
• Semantic vector search
• RAG question answering
• Source citations / references
• Multi-document knowledge bases
• Dense, sparse, or hybrid retrieval
• Prompt optimization
• Retrieval and response evaluation
• Clean Python source code

I have practical research experience developing and evaluating RAG systems, including FAISS, BM25, hybrid retrieval, prompt testing, and RAG evaluation.

Please message me before ordering so I can understand your documents and requirements.