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 AI framework for semantic search, LLM orchestration and language model workflows
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...
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings...
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational 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
Bringing BERT into modernity via both architecture changes and scaling
Documentation for Google's Gen AI site - including the Gemini API and Gemma
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
A NodeJS RAG framework to easily work with LLMs and embeddings
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines
A code repository indexing tool to supercharge your LLM experience.
RAG-powered documentation assistant that converts, processes, and provides semantic search capabilities for Odoo's technical documentation. Supports multiple Odoo versions with an interactive chat int...
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
A NodeJS RAG framework to easily work with LLMs and embeddings
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
openai-whisper-talk is a sample voice conversation application powered by OpenAI technologies such as Whisper, Completions, Embeddings, and the latest Text-to-Speech. The application is built using Nu...
Rust library for generating vector embeddings, reranking locally
Bringing BERT into modernity via both architecture changes and scaling
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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...
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
A blazing fast inference solution for text embeddings models
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings...
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
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
A code repository indexing tool to supercharge your LLM experience.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Bringing BERT into modernity via both architecture changes and scaling
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
Documentation for Google's Gen AI site - including the Gemini API and Gemma
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
A code repository indexing tool to supercharge your LLM experience.
The goal is to parse,process and ingest codebase/s to form a pluggable knowledge Graph and become the unified code context provider
This repository is part of a course on ElasticSearch in Python. It includes notebooks that demonstrate its usage, along with a YouTube series to guide you through the material.
RAG-powered documentation assistant that converts, processes, and provides semantic search capabilities for Odoo's technical documentation. Supports multiple Odoo versions with an interactive chat int...
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for...
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.
A flexible, adaptive classification system for dynamic text classification
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Your AI Powered Enterprise Knowledge Partner. Designed to be used at scale from ingesting large amounts of documents formats such as pdfs, docx, xlsx, png, jpgs, tiff, mp3, mp4, jpeg. Integrates with ...
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings...
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...
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A code repository indexing tool to supercharge your LLM experience.
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
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Running llama3 using Ollama-Python, Curl, LangChain, Chroma, and User interface.
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
A code repository indexing tool to supercharge your LLM experience.
This repository is part of a course on ElasticSearch in Python. It includes notebooks that demonstrate its usage, along with a YouTube series to guide you through the material.
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for...
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings...
A flexible, adaptive classification system for dynamic text classification
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
Query Expension for Better Query Embedding using LLMs
This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
Sentence Transformers API: An OpenAI compatible embedding API server
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings...
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.
Bringing BERT into modernity via both architecture changes and scaling
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Go library for embedded vector search and semantic embeddings using llama.cpp
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Notate is a desktop chat application that takes AI conversations to the next level. It combines the simplicity of chat with advanced features like document analysis, vector search, and multi-model AI ...
A flexible, adaptive classification system for dynamic text classification
EntityDB is an in-browser vector database wrapping indexedDB and Transformers.js over WebAssembly
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
Ollama负载均衡服务器 | 一款高性能、易配置的开源负载均衡服务器,优化Ollama负载。它能够帮助您提高应用程序的可用性和响应速度,同时确保系统资源的有效利用。
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 AI framework 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
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings...
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
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/
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.
Bringing BERT into modernity via both architecture changes and scaling
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
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
Go library for embedded vector search and semantic embeddings using llama.cpp
A code repository indexing tool to supercharge your LLM experience.
A curated list of retrieval-augmented generation (RAG) in large language models
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
A curated list of useful open-source AI resources
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
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.
Sentence Transformers API: An OpenAI compatible embedding API server
Query Expension for Better Query Embedding using LLMs
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
Samples on how to build industry solution leveraging generative AI capabilities on top of SAP BTP and integrated with SAP S/4HANA Cloud.
Learn how to talk to Django as any human should -- e.g. Semantic Search and Text-to-SQL.