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Vector Databases: A Beginner’s Guide! (link)
Vector database, a gentle introduction (+ hands-on) (link)
Vector Databases - a list… (link)
Vector Databases (are All The Rage) (link)
The Ultimate Guide to Vector Database Landscape — 2024 and Beyond (link)
Vector databases (1): What makes each one different? (link)
Vector databases (2): Understanding their internals (link)
Vector Data Store Evaluation Criteria (link)
Optimize Vector Databases, Enhance RAG-Driven Generative AI (link)
zilliz Learning Series (link)
Vector search - fzliu git (link)
Experimenting with Vector Databases: Chromadb, Pinecone, Weaviate and Pgvector (link)
Which Vector Database Should You Use? (link)

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Google’s New Algorithms Just Made Searching Vector Databases Faster Than Ever (link)
SOAR: New algorithms for even faster vector search with ScaNN (link)

Product Quantization - Pinecone (link)
Product Quantization in Postgres (link)
Similarity Search - Efimov (link)
Vector Indexing: Roadmaps to Search (link)
Vector databases (3): Not all indexes are created equal (link)
Nearest Neighbor Indexes: What Are ivfflat Indexes in pgvector and How Do They Work (link)
Choosing the Right Vector Index For Your Project (link)
Scalar Quantization and Product Quantization (link)
Approximate Nearest Neighbor (ANN) Indexes (link)
Vamana vs. HNSW - Exploring ANN algorithms Part 1 (link)
HNSW+PQ - Exploring ANN algorithms Part 2.1 (link)
Understand Indexes in pgvector (link)
Understanding Hierarchical Navigable Small Worlds (HNSW) (link)

pgvector (link)
PostgreSQL as a Vector Database: Getting Started and Scaling (link)
The 150x pgvector speedup: a year-in-review (link)
What’s new in pgvector v0.7.0 (link)
Distributed queries for pgvector (link)
Speed up PostgreSQL pgvector queries with indexes (link)
PostgreSQL as a Vector Database: Create, Store, and Query OpenAI Embeddings With pgvector (link)
Unleashing the power of vector embeddings with PostgreSQL (link)
Why we replaced Pinecone with PGVector (link)