Trending repositories for topic vector-database
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
A cloud-native vector database, storage for next generation AI applications
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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 API that fits effortlessly into your apps, websites, and workflow
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Practical course about Large Language Models.
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
Private & local AI personal knowledge management app for high entropy people.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Dabarqus is a stand alone application that implements a complete RAG solution.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Dabarqus is a stand alone application that implements a complete RAG solution.
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.
Swift Vector Database. On-device, local vector database for building the next-generation of user experiences
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data fro...
Practical course about Large Language Models.
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...
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
The official TypeScript/Node client for the Pinecone vector database
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
A cloud-native vector database, storage for next generation AI applications
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
Private & local AI personal knowledge management app for high entropy people.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop....
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
Practical course about Large Language Models.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
An intelligent assistant for querying and analyzing real estate condo data in Miami.
Dabarqus is a stand alone application that implements a complete RAG solution.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
This repo is a beginner's guide to using Chroma. It covers all the major features including adding data, querying collections, updating and deleting data, and using different embedding functions. Each...
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Fast, SQL powered, in-process vector search for any language with an SQLite driver
Index your memes by their content and text, making them easily retrievable for your meme warfare pleasures. Find funny fast.
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit w...
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data fro...
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
A cloud-native vector database, storage for next generation AI applications
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...
Private & local AI personal knowledge management app for high entropy people.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Index your memes by their content and text, making them easily retrievable for your meme warfare pleasures. Find funny fast.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop....
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
An intelligent assistant for querying and analyzing real estate condo data in Miami.
RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
Index your memes by their content and text, making them easily retrievable for your meme warfare pleasures. Find funny fast.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Sentence Transformers API: An OpenAI compatible embedding API server
A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.
A NodeJS RAG framework to easily work with LLMs and embeddings
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are ...
A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.
A JavaScript library that brings vector search and RAG to your browser!
Home of the AI workforce - Multi-agent system, AI agents & tools
Private & local AI personal knowledge management app for high entropy people.
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit w...
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...
Index your memes by their content and text, making them easily retrievable for your meme warfare pleasures. Find funny fast.
Hybrid vector database with flexible SQL storage engine & multi-index support.
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.
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Private & local AI personal knowledge management app for high entropy people.
A cloud-native vector database, storage for next generation AI applications
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...
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, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ...
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Practical course about Large Language Models.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop....
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Semantic Search on Wikipedia with Upstash Vector
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
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...
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
Community Plugins for Genkit (OpenAI, Groq, Anthropic, Cohere, etc)
图片搜索引擎，很简单。三步构建属于你自己的图片搜索引擎，掌握向量数据库和以图搜图、文本搜索图片。
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relationa...
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.