I will build a custom rag chatbot using langchain, openai and pinecone


About this gig
Do you want an AI chatbot that actually knows YOUR business not a generic ChatGPT wrapper that hallucinates answers?
I build custom RAG (Retrieval-Augmented Generation) chatbots that are trained on your own documents, PDFs, website content, or database so every answer is accurate and grounded in your actual data.
WHAT YOU GET:
Chatbot trained on your custom data (PDFs, docs, website, FAQs)
Vector database setup (Pinecone / Chroma / FAISS) for accurate retrieval
LangChain-based architecture for reliable, structured responses
Integration on your website, WhatsApp, Telegram, or Slack
Powered by GPT-4o, Claude, or Groq (fast inference) your choice
USE CASES:
- Customer support bots that answer from your knowledge base
- Internal company chatbots for employee Q&A
- E-commerce product assistants
- Document Q&A tools (legal, medical, educational content)
TECH STACK:
Python, LangChain, OpenAI/GPT-4o, Groq, Pinecone, FastAPI, Vector Embeddings,Claude
Message me with your data source and use case before ordering, and I'll recommend the right package for accurate scoping.
Get to know Sardar Owais
Turning Ideas into Intelligent Digital Solutions
- FromPakistan
- Member sinceApr 2017
- Last delivery9 months
Languages
English, Russian, Italian, Dutch
My Portfolio
FAQ
Which AI model will you use?
GPT-4o by default, or Claude/Groq/Llama if you prefer — I'll advise based on your budget and speed needs.
Can it handle large documents?
Yes, using chunking and vector embeddings so it retrieves only relevant sections, no size limit for reasonable use cases

