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I will build a rag chatbot using langchain and pinecone for your documents


À propos de ce service
I will build a RAG chatbot using LangChain and Pinecone
that answers questions directly from your documents,
PDFs, or knowledge base with no hallucinations and
no irrelevant responses.
WHAT I DELIVER
A retrieval-augmented generation chatbot trained on your
own data, connected to Pinecone vector database for fast
and accurate search, with a clean chat interface and
production-ready backend.
TECH STACK
LangChain, Pinecone, OpenAI GPT-4o or Claude, Python,
FastAPI, Streamlit, Docker
USE CASES
Law firms, SaaS companies, eCommerce stores, healthcare
platforms, and educational tools that need accurate
AI-powered Q&A from their own content.
DELIVERABLES
Complete source code, working demo, deployment guide,
and post-delivery support included in Premium package.
Please message me before placing an order to discuss
your documents and project requirements.
Découvrez Muhammad U
Python FastAPI Engineer
- DePakistan
- Membre depuisfévr. 2026
- Temps de réponse moy.1 heure
Langues
Ourdou, Anglais
Mon portfolio
FAQ
What types of documents can the chatbot read?
PDF, Word (.docx), TXT, CSV, website URLs, and Excel files.
Will it hallucinate or give wrong answers?
RAG technology forces the chatbot to only answer from your documents not from general AI knowledge.
Can I add it to my website?
Yes, the Standard and Premium packages include an embeddable UI and API endpoint.
Which AI model will you use?
GPT-4o by default. I can also use Claude, Gemini, or open-source models on request.
