Trending repositories for topic embeddings
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
Documentation for Google's Gen AI site - including the Gemini API and Gemma
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
A curated list of Generative AI tools, works, models, and references
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
Automatic news aggregator in Telegram / Автоматический агрегатор новостей в Телеграме
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
A NodeJS RAG framework to easily work with LLMs and embeddings
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Rust library for generating vector embeddings, reranking locally
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
A curated list of retrieval-augmented generation (RAG) in large language models
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
Documentation for Google's Gen AI site - including the Gemini API and Gemma
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
GPT Interviewer - Practice interview with AI interviewer based on job descriptions and resume
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
A curated list of Generative AI tools, works, models, and references
A blazing fast inference solution for text embeddings models
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Documentation for Google's Gen AI site - including the Gemini API and Gemma
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine
Rust library for generating vector embeddings, reranking locally
Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Rust library for generating vector embeddings, reranking locally
A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A curated list of retrieval-augmented generation (RAG) in large language models
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
GPT Interviewer - Practice interview with AI interviewer based on job descriptions and resume
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
Home of the AI workforce - Multi-agent system, AI agents & tools
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
A blazing fast inference solution for text embeddings models
Rust library for generating vector embeddings, reranking locally
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
A curated list of Generative AI tools, works, models, and references
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Rust library for generating vector embeddings, reranking locally
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines
A curated list of retrieval-augmented generation (RAG) in large language models
State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.
State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Go library for embedded vector search and semantic embeddings using llama.cpp
Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters in one simple API.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
Your personal free-to-use AI assistant, built with gemini & flutter.
Next-token prediction in JavaScript — build fast language and diffusion models.
A curated list of retrieval-augmented generation (RAG) in large language models
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
A blazing fast inference solution for text embeddings models
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
Documentation for Google's Gen AI site - including the Gemini API and Gemma
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
A curated list of Generative AI tools, works, models, and references
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
The Clay Foundation Model - An open source AI model and interface for Earth
RESTai is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex & Langchain. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama/vLLM/etc. Precis...
Go library for embedded vector search and semantic embeddings using llama.cpp
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
A NodeJS RAG framework to easily work with LLMs and embeddings
SemanticPDF: Drag, Drop, Semantic Search - SemanticPDF is a simple, privacy-focused application that makes it easy to upload a PDF file and perform a semantic search on contents.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Go module for fetching embeddings from embeddings providers
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
