Embedding Python Packages

redisvl

Redis Vector Library. The AI-native Python client for Redis.

nano-vectordb

A simple, easy-to-hack Vector Database

opentsne

Extensible, parallel implementations of t-SNE

pymilvus-model

A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

ms-swift

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

turbovec

A vector index built on TurboQuant, written in Rust with Python bindings

taosmd

Local-first AI memory — runs offline on any machine with 8 GB+ RAM (SBC, mini PC, laptop, workstation). Zero-loss verbatim archive, knowledge graph, hybrid retrieval. Framework-agnostic, no cloud.

sphinxcontrib-asciinema

Easily embed asciinema videos into Sphinx documentation

fastretrieval

Fast multi-model retrieval runtime: ONNX and GGUF embeddings, reranking, and a declarative model contract

paddlenlp

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

mirpy-lib

Machine learning for Immune Repertoires

atmem

Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No external API required for local memory. Install with pip: pip install atmem

milvus-model

A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

pymde

Minimum-distortion embedding with PyTorch

keras-pos-embd

Position embedding layers in Keras

keras-embed-sim

Calculate similarity with embedding

memtomem

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

tool-helpers

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

fast-dataindex

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

embedding-atlas

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

vectorwave

One decorator for semantic caching + golden-data regression testing of LLM functions (Python).

embedflow

Zero downtime embedding upgrades

atmem-atbot

Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No external API required for local memory. Install with pip: pip install atmem

gritlm

Generative Representational Instruction Tuning