Search Packages

featureform

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

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.

kektordb-client

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

embeddinghub

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

recs-searcher

Search engine and registry error corrector

vectory

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

m2vdb

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

embcompare

A simple python tool for embedding comparison

neighborblend

No description available

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.