Statistics for topic vector-database
RepositoryStats tracks 579,129 Github repositories, of these 184 are tagged with the vector-database topic. The most common primary language for repositories using this topic is Python (60). Other languages include: TypeScript (29), Jupyter Notebook (24), Go (15), C++ (11)
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The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
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/
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!
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!
Dabarqus is a stand alone application that implements a complete RAG solution.
A NodeJS RAG framework to easily work with LLMs and embeddings
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
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/
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!
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!
Dabarqus is a stand alone application that implements a complete RAG solution.
A NodeJS RAG framework to easily work with LLMs and embeddings
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
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!
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
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!
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.
A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.
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。
Private & local AI personal knowledge management app for high entropy thinkers.
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...
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 thinkers.
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
🕵️♂️ 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
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.