Search Results for "vector database"
Sort By:
Showing 121 open source projects for "vector database"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
1
ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. -
2
Turso Database
Turso is an in-process SQL database, compatible with SQLite
...It offers bindings and integrations across languages such as Rust, JavaScript, Go, Python, Java, .NET, and WebAssembly. The database also includes vector support, asynchronous Linux I/O with io_uring, and a built-in MCP server that lets AI assistants inspect and modify databases through structured tools. -
3
Vector Admin
The universal tool suite for vector database management
Vector Admin is a full-stack management platform designed to simplify the handling, visualization, and control of vector databases used in modern AI and machine learning applications. It acts as a universal interface for interacting with multiple vector database providers such as Pinecone, Chroma, Weaviate, and Qdrant, enabling users to manage embeddings without relying solely on APIs or backend tooling. -
4
Database Series
In-depth and easy-to-understand database storage: database theory
Database Notes is an open-source educational knowledge base covering database theory, storage architectures, and modern data management technologies. It explains how databases store, retrieve, organize, and process information across different workloads. The material explores relational databases such as MySQL and PostgreSQL alongside key-value, document, graph, time-series, and vector databases. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
5
DBreeze Database
C# .NET NOSQL ( key value store embedded ) ACID database
DBreeze Database is a professional, open-source, multi-paradigm (embedded Key-Value store, objects, NoSql, text search, multi-parameter search, embedding vector database, vector similarity search/clustering, etc.), multi-threaded, transactional and ACID-compliant data management system for .NET5> / .NET Framework 3.5> / Xamarin MONO Android iOS / .NET Core 1.0> / .NET Standard 1.6> / Universal Windows Platform / .NET Portable / UNITY / CoreRT. -
6
Lantern Database
PostgreSQL vector database extension for building AI applications
Lantern is a real-time data transformation engine that enables data engineers to build, run, and monitor streaming data pipelines with SQL. It’s designed to process events in motion, offering low-latency stream transformations, aggregations, and enrichment in a declarative way. Lantern is especially suited for modern data infrastructure and analytics platforms. -
7
Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. -
8
OceanBase seekdb
The AI-Native Search Database
seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the database layer, including embedding generation, reranking, and LLM inference for end-to-end RAG pipelines. ... -
9
Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do.... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search. -
11
Qdrant
Vector Database for the next generation of AI applications
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. -
12
HelixDB
Graph-vector database for building unified AI backends fast
HelixDB is an open source database designed to unify multiple data storage paradigms into a single platform tailored for AI-driven applications. It combines graph and vector data models, allowing developers to manage relationships and embeddings within the same system without relying on separate services. HelixDB is built from scratch in Rust and uses LMDB as its storage engine, enabling high performance and low-latency query execution. -
13
tilemaker
Make OpenStreetMap vector tiles without the stack
Create the vector tiles on your home machine or using a cloud CPU. Upload the file to your site or app. And that's it. No database to maintain; no contract to pay; and no restriction on commercial use. tilemaker is a single executable that takes OpenStreetMap data and makes it into vector tiles. It's supremely customizable, but if you just want off-the-shelf tiles in a standard style, tilemaker comes bundled with the files to do that too. -
14
SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. ... -
15
Planetiler
Flexible tool to build planet-scale vector tilesets
Planetiler (pla·nuh·tai·lr, formerly named "Flatmap") is a tool that generates Vector Tiles from geographic data sources like OpenStreetMap. Planetiler aims to be fast and memory-efficient so that you can build a map of the world in a few hours on a single machine without any external tools or database. Vector tiles contain raw point, line, and polygon geometries that clients like MapLibre can use to render custom maps in the browser, native apps, or on a server. ... -
16
sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
17
pgvector
Open-source vector similarity search for Postgres
pgvector is an open-source PostgreSQL extension that equips PostgreSQL databases with vector data storage, indexing, and similarity search capabilities—ideal for embeddings-based applications like semantic search and recommendations. You can add an index to use approximate nearest neighbor search, which trades some recall for speed. Unlike typical indexes, you will see different results for queries after adding an approximate index. An HNSW index creates a multilayer graph. It has better... -
18
VikingDB MCP Server
A mcp server for vikingdb store and search
An MCP server that interfaces with VikingDB, a high-performance vector database developed by ByteDance, enabling efficient vector storage and search capabilities. -
19
Zvec
A lightweight, lightning-fast, in-process vector database
Zvec is an open-source, lightweight, in-process vector database designed to embed directly into applications and serve fast similarity search workloads without the overhead of a separate server process. Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. -
20
MyScaleDB
A @ClickHouse fork that supports high-performance vector search
MyScaleDB is an open-source SQL vector database designed for building large-scale AI and machine learning applications that require both analytical queries and semantic vector search. The system is built on top of the ClickHouse database engine and extends it with specialized indexing and search capabilities optimized for vector embeddings. This design allows developers to store structured data, unstructured text, and high-dimensional vector embeddings within a single database platform. ... -
21
Apache Baremaps
Create custom vector tiles from OpenStreetMap
Baremaps is an Apache Incubator project that provides tools and a Java-based pipeline for building and rendering vector tiles from OpenStreetMap (OSM) data. It’s designed for fast map generation, serving tiles, and supporting real-time updates, making it a powerful backend for map-based applications. -
22
Datalevin
A simple, fast and versatile Datalog database
Datalevin is an open-source Datalog-based database written in Clojure that runs natively on top of LMDB. It supports full ACID transactions, schema-less EDN data storage, vector search with SIMD acceleration, and text-based querying. Usable as an embedded library or as a client/server database with RBAC access, it acts like SQLite or Datomic on a ledger of immutable datoms, plus modern features like vector and full-text search. -
23
Martin
Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server
Martin is a fast and lightweight tile server for serving vector and raster tiles from PostGIS-enabled PostgreSQL databases. Written in Rust, it is optimized for performance and low memory usage, making it suitable for production geospatial applications. Martin supports modern web mapping standards and integrates seamlessly with MapLibre and other mapping libraries. -
24
darktable
darktable is an open source photography workflow application
darktable is an open source photography workflow application and non-destructive raw developer. A virtual lighttable and darkroom for photographers. It manages your digital negatives in a database, lets you view them through a zoomable lighttable and enables you to develop raw images, enhance them and export them on local or remote storage. -
25
RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations...
