I will develop a rag based ai chatbot using openai, langchain, pinecone


Level 2
About this gig
Are you looking to create a custom RAG AI chatbot for your business or application?
I will develop a powerful RAG-based AI chatbot using OpenAI LLMs, LangChain, Pinecone, and modern full-stack technologies to turn your data into an intelligent conversational system.
I specialize in building AI systems that combine LLMs with your private knowledge base so the chatbot can answer questions accurately, contextually, and with real-time retrieval.
What I offer:
RAG AI chatbot using OpenAI / LLMs
LangChain pipeline for orchestration
Vector database integration (Pinecone / FAISS)
Chatbot trained on PDFs, websites, or custom data
Context-aware question answering system
REST API or full-stack integration
MERN stack (MongoDB, Express, React, Node.js) support
Tech stack includes: OpenAI, LLMs, LangChain, Pinecone, FAISS, Python, Node.js, React, MERN Stack.
I ensure clean, scalable, and production-ready solutions tailored to your needs. Please contact me before ordering to discuss your requirements.
Get to know Saeed H Barcha
Full Stack Developer and AI Engineer, MERN , PERN , UIUX Designer Figma
Level 2
- FromPakistan
- Member sinceJul 2021
- Avg. response time1 hour
- Last delivery5 months
Languages
Urdu, English, Hindi
My Portfolio
FAQ
What is a RAG chatbot?
A RAG chatbot uses your own data (PDFs, websites, or databases) with LLMs to give accurate, context-based answers.
Can you train the chatbot on my data?
Yes, I can integrate your documents, website, or database into the chatbot using vector databases.
Do you provide deployment?
Yes, I can deploy your chatbot as a full-stack web app or API.
What technologies do you use?
OpenAI, LangChain, Pinecone, FAISS, MERN stack, Python, Node.js, React.
