AI Agent Skills

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

A fast, efficient universal vector embedding utility package.

Top2Vec learns jointly embedded topic, document and word vectors.

MTEB: Massive Text Embedding Benchmark

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025]

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing da…

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Doc…