/ 7 min read
How to use a vector database
Embeddings, similarity search and RAG — how retrieval actually works, why chunking and hybrid search decide your quality, and when a vector database is the wrong tool entirely.
Embeddings, similarity search and RAG — how retrieval actually works, why chunking and hybrid search decide your quality, and when a vector database is the wrong tool entirely.
Context windows are the working memory of an LLM application, and they fill up faster than anyone expects. What actually consumes them, why long conversations degrade, and the techniques that work.
Tokens, embeddings, attention and next-token prediction — what the machine is really doing, why it hallucinates, and what 'reasoning' is and isn't.