Search Results for "search"
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Showing 371 open source projects for "search"
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. -
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Firebird
Firebird server, client and tools
...It has been used in production systems, under a variety of names, since 1981. To enhance the Firebird functionality, IBSurgeon has sponsored the development and now released for public use the free open source "IBSurgeon Full Text Search UDR" to perform full-text search queries within SQL and PSQL. UDR works with Firebird 3 and 4, for Windows, there are ready-to-use binaries, for Linux, it is necessary to build the UDR. The UDR is based on Lucene++ engine, with all the powerful features required for full-text search and with very fast performance (build as native C++ library). ... -
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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. ... -
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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. -
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RUM
RUM access method - inverted index with additional information
RUM is a PostgreSQL extension that enhances full-text search performance by implementing a new type of GIN index. It allows fast ranking, filtering, and search in a single index scan, improving query efficiency in applications that rely heavily on text search. RUM is useful for advanced search features like faceting and relevance ranking. -
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MongoDB
The MongoDB Database
MongoDB refers to the core MongoDB server, a modern, document-oriented NoSQL database offering flexible schema, rich queries, horizontal scalability, and integrated support for transactions and search. Packages are created dynamically by the buildscripts/packager.py script. This will generate RPM and Debian packages. Client drivers for most programming languages are available. You can install compass using the install_compass script packaged with MongoDB. MongoDB integrates with 100+ of your favorite technologies. -
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ZhParser
PostgreSQL extension for full-text search of Chinese language
zhparser is a PostgreSQL extension for full-text search of Chinese text. It integrates with PostgreSQL's text search engine to tokenize Chinese characters using a dictionary-based segmentation algorithm. zhparser is a valuable tool for improving search accuracy and performance in Chinese-language applications. -
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ParadeDB
ParadeDB is a modern Elasticsearch alternative built on Postgres
ParadeDB is an open-source search and analytics engine built on top of PostgreSQL. It serves as a modern alternative to Elasticsearch, offering real-time search capabilities for update-heavy workloads. By leveraging PostgreSQL's robustness, ParadeDB provides a scalable and efficient solution for full-text search and analytics. -
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VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
...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. -
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sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
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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. Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. ... -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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Dgraph
The Only Native GraphQL Database With A Graph Backend
...Dgraph is able to do things that other graph DBs can’t. It provides consistent replication, automatic data movement for shard balancing, distributed ACID transactions, as well as native support for full text search, regular expressions and geo search. If you have over 10 SQL tables interconnected via foreign keys, or sparse data that don’t fit neatly into SQL tables; or if you just want a simple and flexible schema, and prioritize speed and performance at scale, Dgraph is the best choice for you. It’s fully equipped with everything you need and more. -
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DBeaver
Free universal database tool
DBeaver is a free, multi-platform database tool that supports any database having a JDBC driver. It is useful for developers, SQL programmers, database administrators and analysts. DBeaver comes with plenty of great features such as metadata and SQL editors, ERD, data export/import/migration and more. Plugins are available for certain databases, and there are also several database management utilities. DBeaver’s Enterprise Edition provides even more features and supports non-JDBC datasources. -
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H2 Database
H2 is an embeddable RDBMS written in Java
...Embedded and server modes; in-memory databases. Browser-based Console application. Small footprint: around 2.5 MB jar file size. Browser-based Console application. Encrypted databases. Fulltext search. Pure Java with small footprint: around 2.5 MB jar file size. ODBC driver. This database can be used in embedded mode, or in server mode. ou may get a security warning from the firewall. If you don't want other computers in the network to access the database on your machine, you can let the firewall block these connections. Only local connections are required at this time. -
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OpenViking
Context database designed specifically for AI Agents
...It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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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. ... -
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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. -
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NocoDB
Open Source Airtable Alternative
NocoDB is an open source #NoCode platform that turns any database into a smart spreadsheet. It is free & self-hostable. Let your imagination be thy limit. Create unlimited grid view, gallery view, form view from your own data. Search, sort, filter columns and rows with ultra ease. Collaborate just like spreadsheets. Invite your team with fine-grained Access Control. Share views publicly and also with password protection. Build automation with you favorite apps: Microsoft Teams Slack, Discord, Whatsapp, Twilio, Email & SMS. -
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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. -
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Beekeeper Studio
Cross-platform SQL Editor and Database Manager
Beekeeper Studio is an open source, cross-platform SQL editor and database management app that is both powerful and easy to use. It lets you query and manage your relational databases, with support for connecting to SQLite, MySQL, MariaDB, Postgres, SQL Server and Amazon Redshift databases. Unlike most other open source SQL editors and database managers, Beekeeper Studio isn’t cluttered with unnecessary features, but does come with the essentials that you need. This includes SQL auto... -
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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. -
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ZomboDB
Making Postgres and Elasticsearch work together like it's 2023
ZomboDB is a PostgreSQL extension that integrates Elasticsearch directly into Postgres, allowing for powerful full-text search and analytics capabilities. It manages Elasticsearch indices transparently, ensuring transactional consistency and enabling complex queries through SQL. -
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CrateDB
CrateDB is a distributed and scalable SQL database
CrateDB is a distributed SQL database designed for massive machine data and real-time analytics. It combines the scalability and performance of NoSQL with the power and simplicity of SQL, allowing for horizontal scaling, full-text search, and complex queries over large datasets. Built in Java and powered by Elasticsearch and Lucene, CrateDB is optimized for high-velocity data ingestion and dynamic queries.
