The Hitchhiker's Guide to Vector Search
A Qdrant Star shares her hardwon lessons from her extensive opensource building
Concept37 Things I Learned About Information Retrieval in Two Years at a Vector Database Company – Leonie Monigatti
From BM25 to RAG: Everything I learned about vector databases, embedding models, and vector search - and everything in between.
Deep Dive
More efficient multi-vector embeddings with MUVERA | Weaviate
Weaviate `1.31` implements the MUVERA encoding algorithm for multi-vector embeddings. In this blog, we dive the algorithm in detail, including what MUVERA is, how it works, and whether it might make sense for you.
recipes/weaviate-features/multi-vector/reason_moderncolbert_comparison.ipynb at main · weaviate/recipes
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations! - weaviate/recipes
Example
Vector Search Explained | Weaviate
Learn about vector search, a technique that uses mathematical representations of data to find similar items in large data sets.
HNSW
