I will build an enterprise rag chatbot with hybrid search and vector db

I will build a custom RAG pipeline or enterprise RAG system for your business, documents, or knowledge base.

I specialize in building reliable AI systems that can retrieve relevant information from your documents and generate grounded answers using LLMs.

My RAG solutions can include semantic search, hybrid search, BM25, vector databases, reranking, RRF, GraphRAG, AI agents, citations, FastAPI APIs, authentication, and database integration.

What I can build

• Custom RAG chatbots
• Enterprise RAG systems
• Document Q&A systems
• Semantic and hybrid search
• BM25 keyword retrieval
• Vector database integration
• RRF result fusion
• Cross encoder reranking
• GraphRAG
• Agentic RAG workflows
• Document ingestion pipelines
• Citation and source tracking
• FastAPI backend APIs
• Database integration
• Authentication and role based access

Technologies

Python, LangChain, FastAPI, PostgreSQL, pgvector, Pinecone, Google Gemini, Hugging Face and LLM APIs.

I can build the system from document ingestion retrieval reranking generation API, with a structure that can be extended for production use.

Please message me before ordering so we can discuss your requirements and choose the appropriate package.