I will build a rag systems and ai agents with langchain vector db and llms

Are you looking for a reliable AI/ML engineer to build a production-ready 

RAG system or LLM-powered application? You're in the right place.

I specialize in building intelligent, context-aware AI systems using the 

latest tools in the LLM ecosystem LangChain, LlamaIndex, OpenAI, and 

vector databases like Pinecone, ChromaDB, Weaviate, and FAISS.

WHAT I OFFER:

- Custom RAG pipeline development (document Q&A, chatbots, knowledge bases)

- LangChain / LangGraph / LlamaIndex application development

- LLM integration (OpenAI GPT-4, Claude, Llama, Mistral, Gemini)

- Vector database setup & embedding pipelines (Pinecone, Chroma, FAISS, Weaviate, Qdrant)

- Custom chatbots trained on your documents, PDFs, or website data

- Prompt engineering & fine-tuning

- API development (FastAPI/Flask) to serve your AI model

- Chat memory, agents, and multi-step reasoning workflows

- AI automation & workflow integration (n8n, Zapier, custom scripts)

- Deployment (AWS, GCP, Azure, Docker, or serverless)

️ TECH STACK:

Python | LangChain | LangGraph | LlamaIndex | OpenAI API | HuggingFace | 

Pinecone | ChromaDB | FAISS | Weaviate | FastAPI |