Embedding Vectors Python Packages

embedflow

Zero downtime embedding upgrades

awadb

AI Native database for embedding vectors

towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

django-graph-search

Production-ready semantic vector search for Django — searches across FK, M2M, and reverse relations by traversing your model graph. Pluggable backends: ChromaDB, FAISS, Qdrant.

dadmatools

DadmaTools is a Persian NLP tools developed by Dadmatech Co.

vector-inspector

The missing developer tool for working with vector databases. A comprehensive desktop app for visualizing, querying, and managing vector data.

langchain-cratedb

CrateDB provider for LangChain.

towhee-models

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

bestrag

BestRAG: A library for hybrid RAG, combining dense, sparse, and late interaction methods for efficient document storage and search.

open-note-mcp

一款跨平台智能笔记 Agent 应用，支持多格式笔记、本地知识库、AI 智能助手、向量语义检索 。

mnemo-protocol

Python client for the Mnemo API (PyPI: mnemo-protocol, import mnemo_sdk). Watermark embedding vectors and check whether a vector was issued to your own account. API-key path only; no x402, no lineage.

embedding-condensation

[𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟲] Dispersion loss counteracts embedding condensation and improves generalization in small language models

embedding-optimizer

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

open-note-cli

一款跨平台智能笔记 Agent 应用，支持多格式笔记、本地知识库、AI 智能助手、向量语义检索 。

open-note-core

一款跨平台智能笔记 Agent 应用，支持多格式笔记、本地知识库、AI 智能助手、向量语义检索 。

honeybee-ml

🐝 | From Data to Prognosis: Embedding Multimodal Oncology Data for Precision Medicine

itembed

Python library to train shallow embeddings on unordered sequences

vinkra

An experimental vector database that automatically switches from slow-but-accurate search to fast-but-approximate search as your data grows, without you having to do anything.

awadb-client

AI Native database for embedding vectors

vectory

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

embedselection

This framework helps you automatically select the most suitable text embedding model for a given downstream use case.

embcompare

A simple python tool for embedding comparison

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.

twittersentiment

Sentiment analyzer for your tweets.