Embeddings Similarity Python Packages

featureform

Package for the Featureform Feature Store

embeddinghub

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

kektordb-client

AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.

vectory

Vectory provides a collection of tools to track and compare embedding versions.

tinyquant-cpu

TinyQuant is a CPU-only vector quantization codec that compresses high-dimensional embedding vectors to low-bit representations while preserving cosine similarity rankings.

recs-searcher

Search engine and registry error corrector

semantic-dictionary

A Python dictionary that uses semantic similarity for key matching instead of exact matches. This library allows you to retrieve values using keys that are semantically similar to the ones stored, making it ideal for natural language interfaces, etc.

neighborblend

No description available

embcompare

EmbCompare is a small python package that helps you compare your embeddings both visually and numerically.

m2vdb

vector db built by someone with no idea how to build a vector db