I will build a document rag chatbot with langchain and pinecone

S
sabaatta536
S
sabaatta536
Saba Atta
Sommige informatie wordt in het Engels weergegeven.

Over deze dienst

Turn your business PDFs and FAQs into a searchable knowledge assistant. I will build a document RAG chatbot using LangChain, Pinecone, OpenAI and a Node.js backend, with a simple React or Next.js chat interface.


This gig focuses on questions answered from your supplied documents, rather than a full SaaS product.


Included:

- Text extraction, chunking and embeddings

- Pinecone vector search and context-based answers

- Chat UI and complete source code

- Source references in Standard and Premium

- Login, one existing web app integration and deployment setup in Premium


Basic: 3 PDFs/50 pages. Standard: 10 PDFs/200 pages. Premium: 20 PDFs/400 pages. Text-based PDFs only; scanned files/OCR, scraping, CRM connections and complex workflows require a separate quote.


AI can make mistakes. I configure out-of-scope fallback responses and test against agreed sample questions; perfect accuracy is not guaranteed.


API usage, Pinecone, hosting and domains are buyer-paid costs. Message me on Fiverr with your use case and sample documents before ordering.

Maak kennis met Saba Atta

Saba Atta

React Nextjs Developer MERN APIs and AI Chatbots

  • Afkomstig uitPakistan
  • Lid sindsjun 2025
  • Gem. reactietijd1 uur
  • Talen

    Urdu, Engels
I build responsive React and Next.js websites, MERN applications and document-based AI chatbots. With 3+ years of full-stack experience, I work with Node.js, Express, TypeScript, MongoDB, MySQL and PostgreSQL. I can turn Figma designs into frontend code, fix bugs, integrate REST APIs, and build RAG assistants with LangChain, Pinecone and OpenAI. Expect clear scope, reusable code and practical handover. Send me your requirements on Fiverr so we can choose the right approach for your project.

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