I will create a rag database with metadata, chunking and embeddings

Custom RAG Database with Metadata, Chunking & Vector Embeddings

A powerful RAG (Retrieval-Augmented Generation) system starts with a well-structured knowledge base. I build custom RAG databases with metadata extraction, smart chunking, vector embeddings, and vector database integration to improve retrieval accuracy for AI chatbots and LLM applications.

Whether you're building an AI chatbot, AI agent, enterprise knowledge base, document search system, or RAG application, I'll create a scalable and production-ready RAG pipeline tailored to your requirements.

Services

• Custom RAG Database Development
• Metadata Extraction & Filtering
• Smart Document Chunking
• Vector Embeddings Generation
• Vector Database Setup (ChromaDB, FAISS)
• Knowledge Base Creation
• Semantic Search Optimization
• LangChain & LlamaIndex Integration
• JSON, PDF, DOCX, CSV

Why Choose Me?

• Production-ready RAG solutions
• Optimized for fast and accurate retrieval
• Clean, scalable, and maintainable architecture
• Expertise in Generative AI, LLMs, and RAG Systems
• Fast communication and on-time delivery

Please contact me before ordering to discuss your project requirements