Vector Database

Creator

Creator

Seonglae Cho

Created

Created

2022 Aug 26 15:17

Editor

Editor

Seonglae Cho

Edited

Edited

2026 Oct 27 13:59

Refs

Refs

Machine Learning

Knowledge System

Vector Similarity

Vector Similarity

Bridges the gap between

Information retrieval and

Memory retention in LLM

Useful traditional database is

Postgres Vector or

Bottleneck is

Disk System IO capacity

Vector Databases

Vector Database Notion

Vector Search Optimization

Vector Database Benchmark

Vector Database Segment

CPU optimized turbopuffer HNSW 대신 클러스터 기반 SPFresh, WAND 대신 벡터화된 block-max MAXSCORE를 사용해 예측 가능한 순차 연산을 확대

The first search engine with fully vectorized query execution

Vectorized execution is the foundation of turbopuffer v3's query engine. This will allow turbopuffer to provide strong performance on many more types of queries.

https://turbopuffer.com/blog/fully-vectorized-search-engine

The first search engine with fully vectorized query execution

Architecture

Building a Vector Database for Scalable Similarity Search

The first one in a blog series to take a closer look at the thought process and design principles behind the building of the most popular open-source vector database.

https://milvus.io/blog/deep-dive-1-milvus-architecture-overview.md

Building a Vector Database for Scalable Similarity Search

What is a Vector Database? | Pinecone

Complex data is growing at break-neck speed. These are unstructured forms of data that include documents, images, videos, and plain text on the web. Many organizations would benefit from storing and analyzing complex data, but complex data can be difficult for traditional databases built with structured data in mind.

https://www.pinecone.io/learn/vector-database/

What is a Vector Database? | Pinecone

Semantic Search in Vector Database for Conversational AI

Semantic search is a type of search that is based on the meaning of words and their relationships to one another. It is a way of searching…

Semantic Search in Vector Database for Conversational AI

https://kumar-vodex.medium.com/semantic-search-in-vector-database-in-conversational-ai-b34c89a9974

Semantic Search in Vector Database for Conversational AI

We should consider embeddings as derived data (like

DB Index) instead of independent data

Vector Databases Are the Wrong Abstraction

Today’s vector databases disconnect embeddings from their source data. We should treat embeddings more like database indexes—here’s how.

Vector Databases Are the Wrong Abstraction

https://www.timescale.com/blog/vector-databases-are-the-wrong-abstraction/

Vector Databases Are the Wrong Abstraction

Backlinks

Representation Learning Cognee Mem0 Redis Module Vector AI Memory Postgres Data Type LangChain Index Transformer Model

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