I will build an AI chatbot that can understand and answer questions from your documents using Retrieval-Augmented Generation (RAG).

I can build the complete AI backend and connect it to your existing application or frontend.

What I can build:

• PDF and document chatbots

• RAG pipelines with vector search

• Document processing and chunking

• Embeddings and Qdrant vector databases

• FastAPI AI backends

• LangChain and LangGraph workflows

• Source-aware responses

• OpenAI or local Ollama models

• PostgreSQL, Redis, and background processing

• Next.js/React integration

This is suitable for company knowledge bases, research assistants, internal document systems, customer support, and other applications that need AI to work with private documents.

If you already have an application, I can integrate the RAG system into your existing backend and frontend.