#Vector DB

Overcoming the limitations of pure vector database search in RAG pipelines. An honest guide to implementing keyword-based BM25, combining results with Reciprocal Rank Fusion (RRF), and applying Cohere Rerank to boost context quality.

Understanding vector database principles and practical applications through project experience

My AI chatbot was hallucinating wild answers to customers. Here's how I implemented RAG (Retrieval-Augmented Generation) to fix it, covering Vector DBs, Embeddings, and Hybrid Search.