I will build a custom rag chatbot on your documents with langchain

R
rajaaryan779
R
rajaaryan779
Aarya Vaidya
build a custom rag chatbot on your documents with langchain
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build a custom rag chatbot on your documents with langchain
Full Screen
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build a custom rag chatbot on your documents with langchainbuild a custom rag chatbot on your documents with langchainbuild a custom rag chatbot on your documents with langchain

About this gig

Turn your documents into a chatbot that answers with sources. I build RAG chatbots with LangChain, Python and FastAPI that answer only from your PDFs, wiki, policies or product data, and say so when the answer is not there.


What you get:

Document ingestion and a vector database (FAISS, Pinecone or pgvector)

Answers with source references and chat memory

Web chat page, website widget, WhatsApp or Slack integration

Tests that check answers against your own questions

Full source code and a setup walkthrough


My background: AI Engineering Intern at OyeLabs. I built a WhatsApp CRM with pgvector search, an AI finance chatbot with a guard that checks every figure against real data, and 19 production n8n AI workflows.


Message me first with a sample of your documents and I will tell you honestly what is possible and the right package.

  • Bot type

    • Customer Service & Support
    • Other

  • AI engine

    • Gemini
    • Open AI GPT
    • LangChain

  • Programming language

    • Python
    • TypeScript

  • Tools & frameworks

    • n8n
    • Pinecone
    • LangChain

  • Platforms

    • WhatsApp
    • Websites
    • Slack

Get to know Aarya Vaidya

Aarya Vaidya

AI Developer LangChain n8n Automation and ML Solutions

  • FromIndia
  • Member sinceFeb 2024

  • Languages

    English
I'm Aarya, an AI/ML developer from Pune specializing in AI agents, automation workflows, and ML models. I've built LangGraph agents, n8n workflows, trading bots, and deep learning models. Currently interning at OyeLabs on AI automation. What I offer: • AI Agents and Chatbots (LangChain, LangGraph, Groq) • Workflow Automation (n8n, Python) • RAG Systems (FAISS, Pinecone) • ML Models (TensorFlow, Keras) • APIs (FastAPI, Flask) Clean, production-ready code. Let's build something intelligent.

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