Browse: Databases
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis, property valuation, and intelligent search.
Alibaba Cloud adb (20211201) SDK Library for Python
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/
đĄ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. With its modular architecture it's
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
OpenCode plugin that gives coding agents persistent memory using local vector database
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
Modelence is a full-stack framework for building production web apps with a built-in database, authentication and monitoring. Modelence is opinionated and AI agent-first, which means it's optimized fo
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
YDB Python SDK
Website for the Weaviate vector database
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Open Source AI Platform - AI Chat with advanced features that works with every LLM
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need throu
Typer, build great CLIs. Easy to code. Based on Python type hints.
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
AI + Data, online. https://vespa.ai
Microsoft Azure Blob Storage Client Library for Python
Microsoft Azure Azure File Share Storage Client Library for Python
HelixDB is an open-source graph-vector database built from scratch in Rust.
Memory library for building stateful agents
The Linux OS for AI Agents â Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.
A Django app providing DB, form, and REST framework fields for zoneinfo and pytz timezone objects.
A curated list of awesome works related to high dimensional structure/vector search & database
The documentation for SurrealDB, powered by Astro
đ PageIndex: Document Index for Vectorless, Reasoning-based RAG
MLflow is an open source platform for the complete machine learning lifecycle
Python client for Sentry (https://sentry.io)
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
Python SDK for Milvus Vector Database
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Az
Postgresql fixtures and fixture factories for Pytest.
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
CLI for DB UX Design System generate AI agent instructions
Lance Namespace interface and plugin registry
Knowledge Engine for AI Agent Memory in 6 lines of code
OpenTelemetry Qdrant instrumentation
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
One API for 20+ LLM providers, your databases, and your files â self-hosted, open-source AI gateway with RAG, voice, and guardrails.
A modern desktop application for exploring, managing, and analyzing vector databases
Your Very Own Agent: The Ultimate, Complete Edition
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable,
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
A simple, fast and versatile Datalog database
High-Performance Engine for Multi-Vector Search
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangC
Process executor (not only) for tests.
Make websites accessible for AI agents
The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.
SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database.
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Portable mixed-precision BLAS-like vector math library for x86 and ARM
Vectra is a local vector database for Node.js with features similar to pinecone but built using local files.
Endee.io â A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available i
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
Orchestrate your dbt projects in Airflow
Embeddings, Retrieval, and Reranking
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
LlamaIndex is the leading document agent and OCR platform
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Client library for the Qdrant vector search engine
JavaScript/Typescript SDK for Qdrant Vector Database
A lightweight, lightning-fast, in-process vector database
TopK is a search engine for the AI era.
Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring loca
Python client library for IBM Cloudant
Pandas on AWS.
⨠A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
Convenient Filesystem interface over GCS
Convert SVG and Android Vector Drawables (XML) into Jetpack Compose ImageVector code. CLI, Gradle plugin, and online playground. Kotlin Multiplatform supported.
Data infrastructure for AI
Chroma.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Database for Android and JVM - first and fast, lightweight on-device vector database
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI â âŠ0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
A lightweight, embeddable vector database library for Go AI projects.
Neo4j Bolt driver for Python
Django extension to allow working with 'clusters' of models as a single unit, independently of the database
Swift-based vector database for on-device RAG using MLTensor and MLX Embedders
Official Weaviate TypeScript Client
A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: đ AI Gateway (LiteLLM) đ¤ LLM Serving (vLLM, SGLang, Ollama
A library for indexing Django models with Elasicsearch, OpenSearch or database and searching them with the Django ORM.
PowerMem: Your AI-Powered Long-Term Memory â Accurate, Agile, Affordable. Also friendly support for the OpenClaw Memory Plugin.
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness.
IPython: Productive Interactive Computing
Python framework for fast Vector Space Modelling
An asyncio PostgreSQL driver
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML.
Up-to-date simple useragent faker with real world database
Support for many storage backends in Django
Asyncer, async and await, focused on developer experience.
Google Generative AI High level API client library and tools.
Database-backed Periodic Tasks.
MySQL driver for asyncio.
Use Database URLs in your Django Application.
Fiona reads and writes spatial data files
MinIO Python SDK for Amazon S3 Compatible Cloud Storage
A Python Progressbar library to provide visual (yet text based) progress to long running operations.
Celery result backends for Django.
Microsoft Azure Storage Common Client Library for Python
Vectorized spatial vector file format I/O using GDAL/OGR
cffi-based cairo bindings for Python
Umple: Model-Oriented Programming - embed models in code and vice versa and generate complete systems. Save yourself lots of coding. Do it collaboratively online in UmpleOnline, in an IDE or on the co
The memory system your AI agent deserves. 4-stage hybrid retrieval â Vector + BM25 + Knowledge Graph + Neural Reranker â in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructur
Excalibase GraphQL instantly turns your database into a GraphQL API. Built with Spring Boot, it supports schema discovery, subscriptions, and type handling â no manual resolvers needed.
The official TypeScript/Node client for the Pinecone vector database
RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis
It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors,
OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more u
The Go client for Chroma vector database
OasisDB: A minimal and lightweight vector database
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
Modular, level-based project template for Claude Code + Obsidian + Figma. Pick your maturity level (L1-L4). Plug in your specs. Ship.
SQL-first lifecycle toolkit for testing, inspecting, and evolving database applications.
Official repository of the Seismic library.
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS
subprocess-tee
OpenID support for modern servers and consumers.
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenA
:sparkles: :dna: Turing ES - Enterprise Search, Semantic Navigation, Chatbot using Search Engine and Generative AI.
code generator sbt plugin from database schema
High-Performance Encrypted Database for .NET 10 | Embedded + gRPC Server | Vector Search âĸ GraphRAG âĸ Analytics
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
Assistant IA avancÊ (RAG, outils, LÊgifrance, OCR, skills, export de fichiers, historique) conçu principalement pour un usage avec AlbertAPI (DiNum)
A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.
Embedded database for agentic memory â relational, graph, and vector under unified MVCC transactions
A tool to analyze and extract information from Jinja used in dbt projects.
Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine â zero data sent to external services.
This bridge integrates Ollama into any chat interface and lets you build your own multi-agent pipeline, including a built-in memory database.
A unified SDK for IronCore encryption operations including vector encryption for AI data
Apache Arrow Flight clustered vector cache for high throughput Agent memory sharing
đ¤ Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.
A curated list of vector database solutions, libraries, and resources for AI applications - https://vectordb.works
đ§ Enable seamless Android app hooking with Vector, a Zygisk module offering a consistent API for module developers and users, built on the LSPlant framework.
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity â handles typos, transpositions, and blind continuation. Zero-al
Search your files by talking to them - 100% offline
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
đ Empower data scientists with DeepAnalyze, a tool that leverages large language models for automated data analysis and insights generation.
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
đ¤ Enhance chatbot accuracy with a self-correcting RAG system that ingests documents, retrieves data, and evaluates responses in real-time.
đ§ Capture and manage your team's knowledge effortlessly with Eywa, ensuring no valuable memory is ever lost.
Recursive Abstractive Processing for Tree-Organized Retrieval - Neuron PHP Framework
đ¤ Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.
đī¸ Simplify booking with this AI service agent that processes queries, finds local options, and offers immediate slots and notifications.
đ Implement hybrid search using Vespa and FastAPI, blending BM25 and dense semantic retrieval for efficient, accurate information retrieval.
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
đ Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.
đ Build and scale reliable Retrieval-Augmented Generation (RAG) systems with this curated collection of tools, frameworks, and best practices.
The first cinematic 3D memory layer for the AI Era. Unify ChatGPT, Claude, and Gemini into a pulsing second brain. Real-time semantic extraction & 3D visualization.
Enable AI agents to retain memory across sessions using persistent storage designed for continuous context retention.
Transform Claude into a local AI assistant for Mac that controls apps, manages tasks, and remembers context across sessions.
Augment any database with VeriSimDB octad capabilities â drift detection, provenance, temporal versioning, modality overlays
Build and run cross-platform event-driven rules and actions with a zero-dependency, lightweight engine for games, web, and mobile apps.
đ¤ Recommend TV shows by matching favorites, averaging embeddings, and finding similar titles using fuzzy search and vector similarity.
đ Enable smart document and data search with AI-powered chat, vector search, and SQL querying across multiple file formats.
⥠Optimize vector searches with a hyper-efficient cache that uses machine learning for faster, smarter data access and reduced costs.
đˇ Transform any camera into ROS2 image topics for seamless integration with robotic systems and effective VLA model deployment.
âĄđž Vectro â Compress LLM embeddings đ§ đ Save memory, speed up retrieval, and keep semantic accuracy đ¯â¨ Lightning-fast quantization for Python + Mojo, vector DB friendly đī¸, and perfect for RAG pip
đ ī¸ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.
đ ī¸ Simplify tool calls for any LLM with AnyToolCall, an OpenAI-compatible middleware that bypasses native constraints through prompt injection.
đ Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
đ Learn from diverse sources with OmniLearnAI, an intelligent platform that combines documents, videos, and more, all with reliable citations.
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.
Provide context-based, accurate answers to syllabus questions using AI powered by Retrieval-Augmented Generation for effective student learning.
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đ§ Explore a FAIR-compliant knowledge graph that analyzes ancient debates on free will, fate, and moral responsibility from the 6th century BCE to CE.
Themis Database System - High-performance C++ hybrid-database (graph-vector-relational-file) with AQL support and MVCC
Build semantic vector databases from code and docs to enable AI agents to understand and navigate your entire codebase effectively.
Deliver daily Chinese AI news summaries by filtering top global tech blog articles into concise, valuable insights for quick reading.
đ° Fetch and summarize news articles locally using a Retrieval-Augmented Generation system powered by AI models for efficient information access.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base
DingTalk (éé) channel plugin for Openclaw - enables AI agent messaging via DingTalk Stream API
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate â built to help studen
PHP MVC framework for bulding web applications
Mosaic AI Agent Framework SDK
Command line tool and async library to perform basic file operations on local paths, Google Cloud Storage paths and Azure Blob Storage paths.
Python library to interact with Amazon SageMaker Unified Studio
Aliyun OSS (Object Storage Service) SDK
TypeScript SDK for MemLib â AI agent memory API
Shared MongoDB schemas and connection for Multiplayer AI agent services
Shared MongoDB schemas and connection for Multiplayer AI agent services
Delight AI Agent Messenger for React Native
Delight AI Agent Messenger for React
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
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
AI News Scraper & Semantic Search: A Python application that scrapes news articles, uses GenAI to generate summaries and identify topics, and provides semantic search capabilities through vector embed
Demo RAG API (FastAPI, OpenAI, ChromaDB, Docker) automatically generated using the OpenAI Codex CLI tool. Highlights Codex's capability for rapid, complex application development.