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.
AI-data warehouse to enrich, transform and analyze unstructured data
💡 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.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
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...
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
Documentation for Google's Gen AI site - including the Gemini API and Gemma
A curated list of Generative AI tools, works, models, and references
State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
AI-data warehouse to enrich, transform and analyze unstructured data
Go library for embedded vector search and semantic embeddings using llama.cpp
The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
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
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
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
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational 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
AI-data warehouse to enrich, transform and analyze 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
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 blazing fast inference solution for text embeddings models
A curated list of Generative AI tools, works, models, and references
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.
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。
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
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, with ultra-modal vector embeddings.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
AI-data warehouse to enrich, transform and analyze unstructured data
Go library for embedded vector search and semantic embeddings using llama.cpp
13 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.
Sentence Transformers API: An OpenAI compatible embedding API server
A curated list of retrieval-augmented generation (RAG) in large language models
A NodeJS RAG framework to easily work with LLMs and embeddings
The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
AI-data warehouse to enrich, transform and analyze unstructured data
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
Go library for embedded vector search and semantic embeddings using llama.cpp
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
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/
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.
A curated list of Generative AI tools, works, models, and references
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。
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Go library for embedded vector search and semantic embeddings using llama.cpp
Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines
AI-data warehouse to enrich, transform and analyze unstructured data
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Sentence Transformers API: An OpenAI compatible embedding API server
Home of the AI workforce - Multi-agent system, AI agents & tools
A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.
A NodeJS RAG framework to easily work with LLMs and embeddings
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
A curated list of retrieval-augmented generation (RAG) in large language models
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
13 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.
AI-data warehouse to enrich, transform and analyze unstructured data
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.
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.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
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
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-data warehouse to enrich, transform and analyze unstructured data
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
Documentation for Google's Gen AI site - including the Gemini API and Gemma
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...
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
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。
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
A curated list of Generative AI tools, works, models, and references
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
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...
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Go library for embedded vector search and semantic embeddings using llama.cpp
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
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.
Go module for fetching embeddings from embeddings providers
Production-ready MVP for securely chatting with your documents using pgvector
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
