I will build rag pipeline or chatbot

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Karn

About this gig

Turn your documents or website into a smart AI chatbot that actually knows your business not a generic ChatGPT wrapper that hallucinates.

I build production-grade RAG (Retrieval-Augmented Generation) pipelines and custom AI chatbots using modern, proven tools not no-code templates.

What I build:

  • Chatbots answering from your docs/PDFs/database grounded, accurate, cited
  • Full RAG pipeline: ingestion chunking embeddings vector database retrieval response
  • Custom chat UI in React & Next.js widgets or standalone apps
  • Orchestration with LangChain for reliable, multi-step retrieval
  • Vector database setup Pinecone, Chroma, Weaviate, or pgvector
  • Semantic caching to cut API costs and latency
  • Hybrid search + re-ranking for higher accuracy
  • Slack, WhatsApp, or website integrations

Tech: LangChain, OpenAI/Claude, vector DBs, React, Next.js, Python.

Working, deployable code with full ownership not a demo that breaks in production. Message me your use case for a custom quote.

Get to know Karn

Karn

AI Full Stack Developer with over 5 years of experience building SaaS

5.0(2)
  • FromIndia
  • Member sinceFeb 2018
  • Avg. response time1 hour
  • Last delivery2 years
  • Languages

    English
I build production web apps with AI. Over ~5 years I've shipped SaaS products end to end: Next.js/React + TypeScript front ends, Node.js/Express APIs, Postgres/MongoDB schemas, Stripe/subscription billing, auth. On the AI side I've built RAG pipelines, vector search (Pinecone/LangChain), and structured-output LLM features with schema validation and retries — including an intent-routing chat layer that decides whether to run an action or answer from retrieval. Recent work includes a graph-based research tool and a Next.js + Supabase SaaS with AI processing and subscription billing.

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