If you've spent any time around local LLMs, you've almost certainly heard about MCP. The Model Context Protocol started life as a Claude-only thing in late 2024, and it has since turned into the de ...

Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model ...

I want to use vector search without setting up an external server. There are surprisingly many requirements like that. When you don't want to bring in Docker at the PoC stage, want to embed search ...

This series is a fixed-point observation record of local LLMs for hospital pharmacists. Every month, I collect information from multiple AIs using the same research prompt, adding primary source ...

LanceDB vector database for embeddings, semantic retrieval, and multimodal search Developer-first workflows with LanceDB python, LanceDB API, and local data files Practical learning paths through ...