Projects sharing features with Pagefind

This project is a full text search engine and enterprise search infrastructure designed for indexing and retrieving large sets of documents. It provides a comprehensive framework for information discovery using ranked results and linguistic analysis. The system integrates high-dimensional vector similarity search for semantic retrieval alongside traditional full-text capabilities. It distinguishes itself through support for geospatial data retrieval, multilingual text processing, and a search suggestion workflow that includes typo-tolerant query completion and spellchecking. The platform cov

This project is a Go client library and API wrapper for interacting with Elasticsearch clusters. It serves as a programmatic interface for managing documents, indices, and cluster health, allowing Go applications to perform search and indexing operations via the REST API. The library functions as a distributed search orchestrator, providing specialized tools for high-throughput data ingestion and cluster administration. It features a buffered bulk processor with exponential backoff retries for optimizing write performance and supports automated index lifecycle transitions and historical data

Zombodb is a database extension and relational data indexer that integrates PostgreSQL with Elasticsearch. It provides a SQL search interface, allowing users to execute complex search queries and aggregations using standard SQL functions and syntax instead of native JSON APIs. The project synchronizes relational data from PostgreSQL to a remote search engine to enable high-performance full-text search and analytics. The system distinguishes itself by bridging relational structures with search engine capabilities, specifically through geospatial search integration for geometry and geography ty

DocSearch is an integrated toolset for adding search capabilities to documentation websites. It provides a JavaScript and React search interface for embedding autocomplete search bars, a dedicated web crawler to extract and synchronize site content into a searchable index, and a monitoring system to track user queries and interaction events. The project distinguishes itself by incorporating a conversational AI assistant powered by retrieval-augmented generation. This assistant grounds a large language model in a specific documentation index to provide factual answers, with configurable system

Searchkick is an integration library and wrapper that connects application models to search engines such as Elasticsearch and OpenSearch. It functions as a search index synchronizer, automatically mirroring database records to a search server to enable full-text and vector retrieval. The project provides a high-level interface for implementing keyword search, semantic vector search, and hybrid search. It distinguishes itself through the ability to combine traditional keyword matching with vector embeddings using reranking and fusion techniques to improve precision. The library covers the end

Swirl Search is an AI-powered middleware engine designed for federated enterprise search and retrieval-augmented generation. It functions as a unified platform that aggregates search results from multiple internal data sources and applications simultaneously, allowing users to query disparate knowledge bases without requiring data migration or indexing. The platform distinguishes itself by using a modular pipeline architecture to transform queries and synthesize information into grounded natural language answers. It employs semantic re-ranking and vector similarity to normalize results across

RediSearch is a Redis module that adds secondary indexing, full-text search, aggregation, and vector similarity search directly into the in-memory data store. It operates as an in-process search engine, extending the core key-value store with capabilities for indexing hash and JSON documents, enabling fast field-level lookups beyond primary key access. The module provides a full-text search engine built on inverted indexes, supporting stemming, fuzzy matching, and relevance scoring via tf-idf. It also includes a vector similarity search engine using a Hierarchical Navigable Small World graph

Fuse is a JavaScript fuzzy search library and client-side search engine designed to index and query JSON data. It provides utilities for approximate string matching and ranking results by relevance, allowing applications to perform fast filtering and searching of datasets without a dedicated backend. The library distinguishes itself through a token-based search implementation that supports word-order independence and relevance weighting. It utilizes edit-distance scoring to handle typos and insertions, and employs a system of field weighting to prioritize matches in high-value data keys. The

list.js is a JavaScript search and sort library used to add real-time filtering, sorting, and pagination to HTML lists and tables without backend dependencies. It functions as a DOM data indexer and template-driven HTML renderer, allowing developers to manage how data is displayed and discovered on the client side. The library distinguishes itself through a fuzzy string matching engine that handles approximate matches and typos, and a DOM data indexer that extracts values directly from HTML data attributes to build a searchable internal index. It uses a template-driven rendering system to gen

RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

This project is a privacy-focused, self-hosted metasearch engine that aggregates results from a wide array of web, academic, and media sources into a single, unified interface. By acting as a proxy between the user and external search providers, it strips identifying headers and tracking parameters from requests, ensuring that search activity remains anonymous and protected from third-party profiling. The platform distinguishes itself through a modular, plugin-based architecture that allows for extensive customization of search behavior, result filtering, and interface branding. It supports a

Marqo is an ecommerce product discovery platform, multimodal vector database, and AI search merchandising tool. It provides infrastructure for implementing semantic search and recommendations, allowing shoppers to find products using natural language and images. The platform distinguishes itself through a hybrid ranking pipeline that combines neural semantic scores with business-defined boosting and pinning rules. It features a conversational commerce engine that uses large language models to process user intent and provides a search performance analytics suite for measuring conversion uplift

LoveIt is a Hugo static site theme and markdown documentation framework designed for creating high-performance blogs and technical documentation sites. It functions as a responsive web template that transforms markdown files into pre-rendered static pages. The project is distinguished by its built-in internationalization support for multilingual content management and a client-side search implementation that enables full-text indexing without a backend server. It includes an SEO-optimized front-end featuring JSON-LD structured data and lazy-loading asset management to improve page speed and s

Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

Vendure is a Node.js e-commerce engine and headless commerce framework built with NestJS and TypeScript. It serves as a multi-channel commerce platform that manages product catalogs, orders, and customers via a strongly typed GraphQL API. The platform is distinguished by its highly extensible architecture, featuring a customizable administrative dashboard where developers can inject custom React components and entity views. It supports multi-channel commerce, allowing the isolation of products, currencies, and regional catalogs from a single unified backend. The engine covers a broad range o

Airweave is a unified AI knowledge base platform that syncs data from external APIs into a searchable layer for retrieval-augmented generation. It provides a pre-built data connector library and a framework for building custom connectors, enabling the extraction, transformation, and synchronization of structured and unstructured data from SaaS applications. The platform includes a hybrid vector retrieval system that combines semantic, neural, and keyword search strategies to deliver grounded context for AI agents. The platform distinguishes itself through an agentic search engine that iterati

InstantSearch is a JavaScript search framework and UI library designed for building instant search and discovery interfaces using the Algolia API. It provides a toolkit for implementing search logic, state synchronization, and result rendering across various environments, including dedicated component libraries for React and Vue.js. The framework decouples search data processing from the UI layer through a connector-based logic abstraction and a provider pattern for state distribution. This allows developers to build custom search behaviors by transforming connectors into hooks and assembling

ReactiveSearch is a suite of declarative frameworks and UI toolkits designed for building Lucene-based, vector, and faceted search interfaces. It provides a collection of pre-built React and Vue components that connect web frontends to search indices, facilitating the creation of interactive search bars, result lists, and complex filtering systems. The project distinguishes itself through a vector search interface and semantic similarity capabilities, including AI-driven natural language answer generation with source citations. It employs a reactive component model where filters and search st

ParadeDB is a database extension that integrates full-text search, vector database capabilities, and real-time analytics directly into a relational engine. It functions as a plugin that adds new storage and query execution capabilities to an existing database architecture. The project distinguishes itself by supporting hybrid search workflows that combine lexical keyword matching with dense and sparse vector similarity in a single query. It utilizes reciprocal rank fusion to merge these ranked result sets and employs logical replication to synchronize data from external instances, removing th

Nominatim is a self-hosted geospatial search engine and geocoding server that utilizes OpenStreetMap data. It provides a complete infrastructure for forward geocoding, converting addresses or place names into geographic coordinates, and reverse geocoding, translating coordinates into human-readable physical addresses. The project features a dedicated data importer that parses raw map data into a PostgreSQL geospatial database. It distinguishes itself through a configurable import pipeline that uses style files to filter map features and an importance-based ranking system to prioritize search

Astro Paper is a minimal and accessible blog theme for the Astro framework, designed to create SEO-optimized static websites. It serves as a pre-configured template for building personal blogs and technical portfolios that render content from Markdown and MDX files. The project distinguishes itself through specialized support for technical writing, including LaTeX mathematical equation rendering and code syntax highlighting. It also automates social media presence via the build-time generation of dynamic Open Graph images and social metadata. The framework covers a broad range of site manage

This project is a knowledge base plugin and RAG context manager that uses a local vector database interface to enable semantic search and relationship mapping. It transforms text into numerical vectors to find semantically related notes and excerpts based on conceptual meaning rather than keyword matches. The system differentiates itself through a semantic graph visualizer that maps notes into clusters to reveal conceptual connections. It also features a context manager capable of bundling local notes and excerpts into reusable packs to provide grounded factual bases for large language model

match-sorter is a JavaScript string matching and array filtering utility designed to rank and sort lists based on search string relevance. It functions as a deterministic best-match sorting library and fuzzy search engine for filtering object arrays. The tool prioritizes results using weighted match heuristics that favor exact matches, acronyms, and string containment. It employs a deterministic ranking system to ensure consistent ordering and supports diacritic-insensitive normalization to match characters regardless of accents. The library covers match criteria specification via key-path p

TagSpaces is an offline-first file tagging and organization platform that lets you manage local files with portable metadata stored directly in filenames or sidecar JSON files, eliminating the need for a central database. It functions as a full-text file search engine, a Kanban board file organizer, a local AI file assistant, an S3-compatible cloud file manager, and a web clipper and bookmark manager, all within a single application. The project distinguishes itself through a local-first architecture where all file operations, indexing, and AI processing run entirely on the device, with cloud

Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an object mapper, a repository abstraction, and a query DSL wrapper, providing both a standard and a reactive client for executing asynchronous search and persistence operations. The project distinguishes itself by automating data access through repository interfaces, which generate query logic based on method naming conventions. It enables the construction of complex search queries using a domain-specific language and supports advanced search capabilities such as vector similar

fuzzysort is a JavaScript library for performing approximate string matching and ranking results. It functions as a string matching engine and weighted search utility designed to identify approximate matches within text and object lists. The library features a pre-indexed search implementation that processes target strings into an optimized format to accelerate repeated lookups. It supports weighted object retrieval, allowing users to search through lists of objects by matching multiple keys and applying custom weights to prioritize specific fields. The engine provides capabilities for searc