Top2Vec learns jointly embedded topic, document and word vectors.

Efficient few-shot learning with Sentence Transformers

MTEB: Massive Text Embedding Benchmark

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Efficient Retrieval Augmentation and Generation Framework

Fast State-of-the-Art Static Embeddings

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

unified embedding model

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models

On-premises conversational RAG with configurable containers

Local first semantic code search and chat | Leverage custom copilots with fine-tuning datasets from code in Alpaca, Conversational, Completion and Instruction format

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

MinT: Minimal Transformer Library and Tutorials

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

sentence-transformers to onnx 让sbert模型推理效率更快

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Open Source Text Embedding Models with OpenAI Compatible API

Simply, faster, sentence-transformers

Optimize Document Retrieval with Fine-Tuned KnowledgeBases