Popular GitHub Repositories for Embedding Models

A curated list of awesome embedding models tutorials, projects and communities.

Python library for knowledge graph embedding and representation learning.

OpenL3: Open-source deep audio and image embeddings

Implementations of Embedding-based methods for Knowledge Base Completion tasks

Word Embeddings for Information Retrieval

Neural Code Comprehension: A Learnable Representation of Code Semantics

Web-ify your word2vec: framework to serve distributional semantic models online

A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.

Official code for "? Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"

Official code for "? Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"

Optimize Document Retrieval with Fine-Tuned KnowledgeBases

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

Train an adapter for any embedding model in under a minute

A monolingual and cross-lingual meta-embedding generation and evaluation framework

? KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings

Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.

GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embeddings

Semantic product search on Databricks

PetPS: Supporting Huge Embedding Models with Tiered Memory

[EMNLP 2024] This is the code for our paper "BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers".