Embeddings Similarity Python Packages

featureform

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

embeddinghub

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

vectory

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

lvface

Face recognition & embedding framework for Python. Detect, align, and compare faces with LVFace ONNX models — multi-face search, group-photo matching, album clustering. No PyTorch.

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.

recs-searcher

Python library for correcting registry and spelling errors in user input when comparing with a database of texts.

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.

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.

m2vdb

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

embcompare

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

neighborblend

No description available