I will build rag systems with vector search and openai

Do you want to "Chat with your Data" but don't know how to build it?

Generic AI models like ChatGPT don't know your business. They hallucinate or give general answers. You need a RAG (Retrieval-Augmented Generation) System that answers questions based strictly on your private documents, PDFs, or database.

I am an AI Engineer specializing in building production-ready RAG systems. I don't just write scripts; I build intelligent pipelines that retrieve accurate information and cite the sources.

• Custom Knowledge Base: PDFs, Word, CSV, Notion, or Website data.
• Vector Search: Using Pinecone, Weaviate, or ChromaDB for semantic understanding.
• Intelligent Retrieval: Hybrid search (Keyword + Semantic) to ensure high accuracy.
• No Hallucinations: Strict system prompts to ensure the AI sticks to your data.
• LLMs: OpenAI (GPT-4o), Claude 3.5, or Local LLMs (Llama 3 via Ollama).
• Frameworks: LangChain, LlamaIndex, LangGraph.
• Vector Stores: Pinecone, Supabase, ChromaDB, FAISS.
• Frontend: Streamlit, Chainlit, or Custom Next.js UI.

I understand the nuances of chunking and embeddings (crucial for accuracy).

I can build "Agents" that not only answer but take action (via LangGraph).

Scalable architecture.