I will build llm rag systems and ai agents for your custom data


About this gig
I will build custom LLM-powered RAG (Retrieval-Augmented Generation) systems and AI agents that can work with your private data and automate intelligent tasks.
If you want an AI that can chat with documents, answer questions accurately, or act as an autonomous agent, this gig is for you.
What I Can Build For You
RAG Systems
- Chat with PDFs, Word files, text files
- Website / knowledge base chatbot
- Database-powered question answering
- Accurate answers using vector search
AI Agents
- Task automation agents
- Tool-using agents (APIs, search, calculators)
- Memory-enabled agents
- Multi-step reasoning agents
LLM Integration
- OpenAI / Gemini / Open-source models
- Prompt engineering & optimization
- Embeddings & vector databases
Backend & Deployment
- Python-based implementation
- Django / FastAPI APIs
- Docker-ready code (if needed)
- Clean, documented, scalable code
Tech Stack
- Python
- LangChain / LlamaIndex
- OpenAI / Gemini / HuggingFace
- FAISS / Chroma / Pinecone
- Django / FastAPI
- Git & Docker
Why Choose Me?
Strong fundamentals in LLMs & RAG
Cost-efficient solutions (open-source if needed)
Production-ready architecture
Clear communication & support
Please message me before ordering so we can discuss your use ca
Get to know anandjohnbabyv4
- FromIndia
- Member sinceApr 2021
Languages
English
FAQ
What is a RAG system?
A RAG system combines LLMs with your data so the AI gives accurate, up-to-date answers instead of guessing.
Can you use my private documents?
Yes. Your data is used only for your project and never shared.
Can you use free or open-source models?
Yes. I can use Gemini or open-source LLMs to reduce cost.
Will I get the source code?
Yes. You get complete, clean, and documented code.
Do you provide deployment help?
Yes, available in Standard & Premium packages.

