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I will build a rag pipeline and ai knowledge base using langchain and vector databases
Dipak T
About this gig
Are you looking to build a powerful RAG (Retrieval-Augmented Generation) pipeline or AI knowledge base for your business? I'll help you create a production-ready system that lets your AI answer questions using your own data.
What I'll build for you:
Tech Stack: Python, LangChain, OpenAI/Anthropic APIs, Pinecone/Chroma, FastAPI, AWS/GCP deployment
Why choose me?
Message me with your use case and I'll recommend the best architecture for your needs!
Get to know Dipak T
Dipak T
Agentic GenAI Engineer
- FromIndia
- Member sinceJun 2025
- Avg. response time1 hour
Languages
English
I build AI automation systems that save businesses hours of manual work every day. With 3+ years building multi-agent LLM workflows (LangGraph, AutoGen, CrewAI), RAG pipelines, MCP servers, and custom AI agents, I deliver production-ready solutions — not prototypes.
What I build: AI agents, intelligent chatbots, document automation, RAG systems, FastAPI backends, AWS deployments.
Stack: Python, LangGraph, FastAPI, AWS, Docker, PostgreSQL, Pinecone, React.
FAQ
Which vector databases do you support?
I work with Pinecone, Chroma, Weaviate, Qdrant, and FAISS. I'll recommend the best option based on your scale and budget — Chroma for local/dev, Pinecone for production scale.
Do I need my own OpenAI API key?
Yes, you'll need your own API key (OpenAI, Anthropic, or Cohere). I can also integrate open-source models like Llama or Mistral to avoid API costs entirely.
