Statistics for topic vector-database
RepositoryStats tracks 566,957 Github repositories, of these 178 are tagged with the vector-database topic. The most common primary language for repositories using this topic is Python (57). Other languages include: TypeScript (31), Jupyter Notebook (24), Go (13)
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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
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 compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
The only Vector tooling you'll need. Star the repo and look out for an email to try out a brand new Vector Data Exploration demo! Use the universal VDF format for vector datasets to easily export and ...
A NodeJS RAG framework to easily work with LLMs and embeddings
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
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 repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
Pixeltable — Data infrastructure enabling incremental builds for multimodal AI⚡
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
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.
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
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Pixeltable — Data infrastructure enabling incremental builds for multimodal AI⚡
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 integrate, test, and deploy sophisticated AI features to Firebase or Google Cloud.
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
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
🕵️♂️ 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.
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 official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval