Subject
4 entries
Vector Search
Bookmarks
Benchmarking Postgres vector search: pgvector vs Lantern
Tembo's benchmark comparing pgvector and Lantern for vector similarity search in PostgreSQL — tests query speed, indexing time, and recall across different dataset sizes. Practical data for choosing a Postgres vector extension.
SuperDuperDB: Bring AI to Your Database
SuperDuperDB integrates AI models and APIs directly with existing databases — train, manage, and query models where your data already lives rather than moving data to a separate vector database. A database-native alternative to building a separate AI data pipeline.
Faiss: The Missing Manual
Pinecone's comprehensive tutorial on FAISS (Facebook AI Similarity Search) — the foundational open-source library for approximate nearest neighbor search over dense vectors. Essential reading before choosing or building any vector search system.
Not Just for Search: Using ElasticSearch with Machine Learning Algorithms
An early (2013) case for using Elasticsearch beyond full-text search — specifically as a substrate for machine learning applications like nearest-neighbor lookup and feature indexing. Pre-dates the vector search era but anticipates the same pattern.