I will build a rag chatbot that answers from your documents and cites sources

B
byd_tech
B
byd_tech
BYD Tech
build a rag chatbot that answers from your documents and cites sources
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build a rag chatbot that answers from your documents and cites sources
Full Screen
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build a rag chatbot that answers from your documents and cites sourcesbuild a rag chatbot that answers from your documents and cites sourcesbuild a rag chatbot that answers from your documents and cites sources

About this gig

Want a chatbot that answers from your own documents and shows where each answer came from? BYD Tech builds it.


We index your PDFs, docs and web pages, then build a chatbot that retrieves the right passages and answers with citations. When the documents don't cover a question, it says so instead of guessing.


What you get:

- Ingestion of your files (PDF, DOCX, text, web pages)

- Search that mixes keyword and semantic matching

- Answers with source citations

- Web chat or API; a re-index script in the higher packages

- Code in your GitHub, with a README


Stack: Qdrant, Elasticsearch or Azure AI Search for retrieval; OpenAI, Claude or Gemini for answers.


How it works: send a sample of your documents and ten real questions. We build against those, then demo the answers. An engineer reviews every AI-assisted change before it reaches you.

  • Bot type

    • Customer Service & Support

  • AI engine

    • Gemini
    • Open AI GPT
    • Claude.ai

  • Programming language

    • JavaScript
    • Python
    • TypeScript
    • React

  • Tools & frameworks

    • LangChain

  • Platforms

    • Websites

Get to know BYD Tech

BYD Tech

AI and backend engineering studio for LLM agents, RAG, and APIs

  • FromIndia
  • Member sinceSep 2026
  • Avg. response time1 hour

  • Languages

    Hindi, English
We are a small engineering studio that builds MVPs, AI agents, and web and mobile apps. We build production AI: LLM agents with tool calling, RAG over your own documents, evaluation harnesses that catch regressions before they ship, and guardrails that stop a model inventing things. On the backend, Node.js, NestJS, Python and FastAPI on AWS and Azure. Your code lives in your GitHub from day one, and every AI-assisted change is reviewed by an engineer before it reaches you. Tell us what you're building and we'll tell you honestly whether we're a fit.

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