I will build a rag chatbot on your documents using langchain and openai API


About this gig
Want your users to chat with your documents,
website, or database and get accurate answers?
I'll build it for you.
I'm a Full Stack AI Engineer building production
RAG systems for the Government of India (NeGD, MeitY)
processing 17,000+ records with BERT, FAISS, and
LangChain with 80%+ efficiency gains.
WHAT I WILL BUILD
RAG pipeline on your PDFs, docs or database
Semantic search using FAISS or pgVector
LangChain memory for multi-turn conversations
OpenAI / Claude API integration
Clean chat UI with React or Next.js
REST API endpoint via FastAPI
AWS or Vercel deployment (Premium)
USE CASES I BUILD FOR
Customer support chatbot on your docs
Internal knowledge base assistant
Legal / HR document Q&A system
Product manual chatbot
Research paper assistant
WHY CHOOSE ME
Built production RAG for Govt. of India
1.5+ years AI engineering experience
Deep LangChain & vector DB expertise
Clean, well-documented, scalable code
On-time delivery, clear communication
Let's build your AI chatbot.
Get to know Pratik
Full Stack AI Engineer, GenAI, LangChain, RAG
- FromIndia
- Member sinceJan 2021
- Avg. response time3 hours
Languages
English, Hindi
My Portfolio
FAQ
What do I need to provide to get started?
What do I need to provide to get started?
Which vector databases do you work with?
I work with FAISS, pgVector, AWS OpenSearch, and Milvus. I will recommend the best one based on your use case and scale requirements.
Can the chatbot remember previous conversations?
Yes — Standard and Premium packages include LangChain conversation memory chains so the chatbot maintains full context across multiple turns.
Will I own the full source code?
Yes, complete source code is included in all packages. You will receive clean, well-documented code you can maintain and extend yourself.
