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


À propos de ce service
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.
Découvrez Pratik
Full Stack AI Engineer, GenAI, LangChain, RAG
- DeInde
- Membre depuisjanv. 2021
- Temps de réponse moy.3 heures
Langues
Anglais, Hindi
Mon 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.
