Search Results for "indexing"
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Showing 89 open source projects for "indexing"
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1
Nitrite Database
NoSQL embedded document store for Java
Nitrite is an embedded NoSQL database for Java applications, offering lightweight document storage with indexing and query capabilities. -
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ConcourseDB
Distributed database warehouse for transactions, search and analytics
ConcourseDB is a distributed, self-tuning database designed for real-time applications, offering strong consistency and ACID compliance without requiring complex configurations. It provides dynamic schema support and automatic indexing. -
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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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OpenViking
Context database designed specifically for AI Agents
OpenViking is an open-source context database engineered for efficient indexing and retrieval of large amounts of unstructured or semi-structured context data used by AI applications. 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. -
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RavenDB
ACID Document Database
A NoSQL document database designed for high-performance, real-time applications with built-in distributed capabilities. -
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MongoDB Rust Driver
The official MongoDB Rust Driver
...It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full use of the database’s capabilities from Rust applications. Because it’s asynchronous by design, it works well with Rust async runtimes like Tokio and async-std, letting developers build highly concurrent networked services that efficiently use modern multicore hardware. ... -
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AgensGraph
AgensGraph, a transactional graph database based on PostgreSQL
AgensGraph is a multi-model database that extends PostgreSQL with graph database capabilities, enabling users to work with both relational and graph data within a single system. It supports the Cypher query language alongside SQL, making it ideal for hybrid workloads. -
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Kivik
Common interface to CouchDB or CouchDB-like databases for Go
Kivik is a Go client library for interacting with CouchDB and PouchDB databases, providing an abstraction layer for NoSQL document storage and retrieval. It simplifies database operations for Go developers. -
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PoloDB
PoloDB is an embedded document database
PoloDB is an embedded document-oriented NoSQL database that provides MongoDB-like functionality in a lightweight package, ideal for local storage in applications. -
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10
ODMantic
Sync and Async ODM (Object Document Mapper) for MongoDB
Odmantic is an Object-Document Mapper (ODM) for MongoDB, designed for Python applications using Pydantic models, providing a seamless integration with type safety and validation. -
11
BuntDB
Database for Go with custom indexing and geospatial support
...It is built for scenarios where you want a lightweight, fast store (reads and writes in memory) but also durability (via append-only file format) and transactional semantics (ACID with single-writer, multiple-reader locking). Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. ... -
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MobilityDB
MobilityDB is a geospatial trajectory data management & analysis
MobilityDB is an extension for PostgreSQL and PostGIS that adds support for managing and querying moving object data, such as vehicles, vessels, or wildlife. It allows developers to store temporal and spatiotemporal data types and execute complex mobility analytics using SQL. It is particularly suited for GIS applications and location-based services. -
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HypoPG
Hypothetical Indexes for PostgreSQL
HypoPG is a PostgreSQL extension that allows you to create hypothetical indexes without actually building them on disk. It helps developers and DBAs test the impact of potential indexes on query performance before committing resources. By simulating indexes, HypoPG assists in query optimization and index strategy planning without any performance or storage cost. -
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ObjectBox Go Database
Embedded Go Database, the fast alternative to SQLite, gorm, etc.
ObjectBox Go is a lightweight and high-performance embedded NoSQL database designed for Go applications, providing efficient data storage and retrieval with minimal overhead. -
15
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. -
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KuzuDB
Embeddable property graph database management system
KuzuDB is a high-performance graph database optimized for analytical queries, built from the ground up with a columnar storage engine. It is designed to efficiently process large-scale graph workloads, making it ideal for data science, machine learning, and knowledge graph applications. -
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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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Doctrine JSON Functions
Doctrine DQL functions for SQL JSON data type
DoctrineJsonFunctions is a library that adds native support for JSON-related SQL functions to Doctrine ORM. It extends Doctrine’s DQL capabilities to handle PostgreSQL, MySQL, and SQLite JSON functions, enabling developers to write expressive queries involving JSON fields directly in DQL. This is especially useful for applications that store semi-structured data in relational databases. -
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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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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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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that... -
22
Apache Druid
A high performance real-time analytics database
...Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly outperform legacy solutions. Druid combines novel storage ideas, indexing structures, and both exact and approximate queries to return most results in under a second. Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data. -
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AceBase realtime database
A fast, low memory, transactional, index, query enabled NoSQL database
A fast, low memory, transactional, index & query enabled NoSQL database engine and server for node.js and browser with real-time data change notifications. Supports storing of JSON objects, arrays, numbers, strings, booleans, dates, begins, and binary (ArrayBuffer) data. Inspired by (and largely compatible with) the Firebase real-time database, with additional functionality and less data sharding/duplication. Capable of storing up to 2^48 (281 trillion) object nodes in a binary database file... -
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SCID Recast
The SCID 5 format in a clean, deterministic, modular architecture
SCID Recast is a deterministic, modern architecture modernizing the core database and indexing subsystem from first principles. It preserves compatibility with existing si5 databases while restructuring the core into a clean, modular C library (libscidcore) with well‑defined boundaries for database, game model, search, engine integration, and metadata. The project emphasizes reproducibility, explicit invariants, a clear error model, and a stable foundation for supporting archival workflows and future tooling. -
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AmberDB - NoSQL database engine in Perl
High-performance, NoSQL engine with transactions for Perl
AmberDB is a high-performance, flat-file NoSQL database engine for Perl built on top of Berkeley DB (DB_File). It combines the speed of flat-file storage with enterprise features: schema-driven multi-dimensional indexing, ACID-compliant transactions with Strict Two-Phase Locking (Strict 2PL), columnar faceted navigation, multilingual locale processing, and native RAM-disk caching.
