text-embedding

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

Efficient LLM inference on Slurm clusters.

Go module for fetching embeddings from embeddings providers

a vector embedding database with multiple storage engines and AI embedding integrations

Simple customizable evaluation for text retrieval performance of Sentence Transformers embedders on PDFs

StickerSelector 是一个基于语义向量匹配的表情包选择系统，用于让 AI 在聊天中发送真正符合语境的表情包。 与传统依赖关键词或规则的方案不同，StickerSelector 会将 AI 生成的“表情包意图描述”与本地表情包进行语义匹配，从而选出在当前语境下最自然、最像真人会使用的表情。 适用于 AI 聊天机器人、QQ或微信的自动聊天、AI 女友等需要“拟人化表达”的场景。

Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.

Flask API for generating text embeddings using OpenAI or sentence_transformers

Using Semantic Kernel to obtain answer from a PDF document, with embeddings stored in Redis and HuggingFace to create embeddings.

Чат-бот с LLL + RAG