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
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
Interact, analyze and structure massive text, image, embedding, audio and video datasets
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
A NodeJS RAG framework to easily work with LLMs and embeddings
A blazing fast inference solution for text embeddings models
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...
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/
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
A curated list of Generative AI tools, works, models, and references
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
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.
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
A Python library to chunk/group your texts based on semantic similarity.
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Unattended Lightweight Text Classifiers with LLM Embeddings
RestAI is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex, Ollama and HF Pipelines. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama. Pr...
Awesome-LLM-RAG: a curated list of advanced 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
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 compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
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...
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
A blazing fast inference solution for text embeddings models
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
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/
A NodeJS RAG framework to easily work with LLMs and embeddings
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
A NodeJS RAG framework to easily work with LLMs and embeddings
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, with ultra-modal vector embeddings.
An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
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!
The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.
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.
Interactive Visualization Interface for Multidimensional Datasets
Home of the AI workforce - Multi-agent system, AI agents & tools
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
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
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
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/
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
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...
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.
A curated list of retrieval-augmented generation (RAG) in large language models
The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents
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.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Sentence Transformers API: An OpenAI compatible embedding API server
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
A NodeJS RAG framework to easily work with LLMs and embeddings
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.
Samples on how to build industry solution leveraging generative AI capabilities on top of SAP BTP and integrated with SAP S/4HANA Cloud.
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
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.
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters in one simple API.
Production-ready MVP for securely chatting with your documents using pgvector
Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
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
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/
A blazing fast inference solution for text embeddings models
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
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
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。
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.
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...
A curated list of Generative AI tools, works, models, and references
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
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).
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
A blazing fast inference solution for text embeddings models
A NodeJS RAG framework to easily work with LLMs and embeddings
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Plugin that lets you use LM Studio to ask questions about your documents including audio and video files.
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.
Open Source Text Embedding Models with OpenAI Compatible API
Go module for fetching embeddings from embeddings providers
Drop in replacement for OpenAI's embedding API. Self Hosted.
A Python library to chunk/group your texts based on semantic similarity.