I will build a production rag chatbot with langchain, pinecone and fastapi


About this gig
I build production-oriented RAG chatbots that connect LLMs to your business data and knowledge bases.
Using LangChain, Pinecone, FastAPI, and modern LLMs such as GPT or Gemini, I can build:
Document ingestion, chunking, and embeddings
Semantic vector search and retrieval
MMR and metadata filtering
Context-aware prompting
FastAPI backend and API integration
Docker-ready deployment architecture
In my RAG project, retrieval optimization and context-aware prompting reduced hallucination and improved factual accuracy by approximately 30% versus a naive LLM baseline.
I can also integrate your RAG system with an existing application based on your requirements.
Please message me before ordering so I can review your data, use case, and technical requirements.
Get to know Abubakar
RAG Chatbot and AI Agent Developer using LangChain and CrewAI
- FromPakistan
- Member sinceDec 2025
- Avg. response time1 hour
Languages
Urdu, English
My Portfolio
FAQ
What do you need from me to build the RAG chatbot?
I need your documents or data source, chatbot use case, and preferred LLM or API. If integration is required, please share your existing application's technical details.
Can you use my existing documents or database?
Yes. I can work with suitable documents and structured data, including CSV files. Database integration is available in the relevant package or as an extra service.
Which technologies do you use?
I use Python, LangChain, Pinecone, FastAPI, and LLM APIs such as GPT and Gemini, depending on your project requirements.
Can you integrate the chatbot into my existing application?
Yes. I can develop a RAG API and integrate it with an existing application based on your technical requirements. Please contact me before ordering.

