I will develop a rag chatbot or ai agent with langchain and python

N
nandini_rayani
N
nandini_rayani
Nandini
develop a rag chatbot or ai agent with langchain and python
develop a rag chatbot or ai agent with langchain and python
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develop a rag chatbot or ai agent with langchain and pythondevelop a rag chatbot or ai agent with langchain and pythondevelop a rag chatbot or ai agent with langchain and python

About this gig

Turn your documents, PDFs, or business data into a smart AI chatbot that actually answers questions correctly not a demo, a working RAG system built with LangChain and Python.

I design and deploy Retrieval-Augmented Generation (RAG) chatbots and AI agents that connect to your own data and give accurate, source-cited answers instead of generic AI guesses.

What you will get:

  • Custom RAG chatbot built with LangChain + vector database (ChromaDB/Pinecone)
  • AI agent that can use tools, not just answer questions
  • Clean, documented Python code you actually own
  • Simple chat interface (Streamlit) or API you can integrate anywhere
  • Source-cited answers to reduce hallucination

Tech stack: Python, LangChain, ChromaDB/Pinecone, OpenAI/Gemini API, Streamlit, FastAPI

I recently built and deployed a full-stack RAG platform end-to-end, from document ingestion to a live chat app with user authentication, so I know what breaks in production, not just in a notebook.

Not sure RAG is right for your use case? Message me before ordering. I will tell you honestly, not just say yes to win the job.

  • AI engine

    • ChatGPT
    • Claude
    • Gemini
    • Azure OpenAI
    • Grok
    • DeepSeek
    • Meta Llama
    • Hugging Face

  • Tools & frameworks

    • LangChain
    • OpenAI Agents SDK
    • Google ADK
    • Langflow

  • AI solution type

    • AI agent
    • AI chatbot
    • Rag system
    • AI workflow
    • AI copilot
    • AI assistant
    • Internal AI tool

  • Purpose

    • Lead generation
    • Content creation
    • Knowledge management
    • Research
    • Data analysis
    • Internal operations

Get to know Nandini

Nandini

AI Developer and Trained physical Design engineer

  • FromIndia
  • Member sinceJun 2026

  • Languages

    English
I'm a VLSI Physical Design engineer (RTL-to-GDSII, Cadence Genus/Innovus) who also builds AI software, a rare combination. I interned at a semiconductor firm, closing timing with zero DRC/LVS violations on a 28nm PDK. I've taken an AI accelerator (systolic array) from RTL to GDSII on Sky130, and built LSTM/CNN accelerators achieving 150x power savings on FPGA. I also build RAG chatbots and AI agents using LangChain and Python. Precise, tested, documented work. Tell me which side of your problem you need, and I'll tell you honestly what's realistic before we start.

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