I will build a RAG pipeline and LLM backend using LangChain and OpenAI

About this Gig

Need your AI to answer questions based on your own documents and data? I will build a production-ready RAG pipeline that gives your LLM accurate, context-aware answers from your knowledge base. What you get: - RAG pipeline built with LangChain and LlamaIndex - Vector search with Pinecone or pgvector - OpenAI GPT-4o powered responses - FastAPI backend with REST API endpoints - Deployed on AWS and ready for production I built production RAG pipelines in a HIPAA-regulated clinical platform with 42% API latency reduction. Clean architecture, real results.

Requirements

Your documents or data sources, the type of questions your users will ask, and your preferred cloud provider (AWS, GCP, or Azure). Any existing codebase or API specs help me get started faster.

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