Trending repositories for topic semantic-search
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
An official Qdrant Model Context Protocol (MCP) server implementation
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and...
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
🦀 Prevents outdated Rust code suggestions from AI assistants.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.
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
🦀 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.
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
An official Qdrant Model Context Protocol (MCP) server implementation
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while...
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Efficient Retrieval Augmentation and Generation Framework
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
An official Qdrant Model Context Protocol (MCP) server implementation
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and...
🦀 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.
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
🦀 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 Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while...
An official Qdrant Model Context Protocol (MCP) server implementation
🧠 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 MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request exe...
graph + ai in your products; reduce costs and get correct answers from your data
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.
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.
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 ...
🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered enterprise search, all in one space.
📚 Tutorial on building a modern search app for Amazon e-commerce products leveraging tabular semantic search and natural language queries.
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Hybrid search engine, combining best features of text and semantic search worlds
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
An official Qdrant Model Context Protocol (MCP) server implementation
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and...
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
🦀 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.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
A curated list of Generative AI tools, works, models, and references
Hybrid search engine, combining best features of text and semantic search worlds
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while...
A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request exe...
An official Qdrant Model Context Protocol (MCP) server implementation
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...
🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered enterprise search, all in one space.
Simple customizable evaluation for text retrieval performance of Sentence Transformers embedders on PDFs
graph + ai in your products; reduce costs and get correct answers from your data
📚 Tutorial on building a modern search app for Amazon e-commerce products leveraging tabular semantic search and natural language queries.
LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.
Hybrid search engine, combining best features of text and semantic search worlds
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
An official Qdrant Model Context Protocol (MCP) server implementation
Go library for embedded vector search and semantic embeddings using llama.cpp
A cutting-edge search engine project tailored specifically for the AI product
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
Coltt is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.
CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performan...
🦀 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.
📚 Tutorial on building a modern search app for Amazon e-commerce products leveraging tabular semantic search and natural language queries.
🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered enterprise search, all in one space.
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while...
LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.
🧠 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...
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.
graph + ai in your products; reduce costs and get correct answers from your data
AI-powered semantic search engine for emojis in 50+ languages, developed in Python
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and...
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
ETL framework to turn your data AI-ready - with realtime incremental updates and support custom logic like lego.
A curated list of Generative AI tools, works, models, and references
Framework for enhancing LLMs for RAG tasks using fine-tuning.
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Superduper: End-to-end framework for building custom AI applications and agents.
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
An official Qdrant Model Context Protocol (MCP) server implementation
Go library for embedded vector search and semantic embeddings using llama.cpp
CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performan...
Coltt is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.
Hybrid search engine, combining best features of text and semantic search worlds
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
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 ...
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
Simple demo for chatting with a PDF - and optionally point the RAG implementation to a local LLM
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C...
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
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.
UI widget for adding semantic search to your React UI in just a few lines of code
