Open-source AddSearch alternatives

Meilisearch is a search engine exposed through an API, written in Rust and designed to be dropped into applications and websites. It aims to give developers a good search experience quickly, with features that work out of the box rather than needing extensive tuning.

Its capabilities include hybrid search that combines semantic and full-text results, search-as-you-type with a target response time under 50 milliseconds, typo tolerance, filtering and faceted search, sorting and geosearch. The topics also describe it as a vector database for AI use cases. The project maintains example applications for movies, ecommerce with facets and filters, conversational home booking, personalization and a multi-tenant CRM, which show how the features fit together.

The license is listed as 'Other', so confirm the terms for your use case. Meilisearch can be run on your own infrastructure, and Meilisearch Cloud offers it as a managed service. It is a common pick for site search, product catalogs and in-app search where a lighter alternative to a large cluster is attractive.

Typesense is an open-source search engine for building fast, typo-tolerant search experiences in websites and applications. It is pitched as an open-source substitute for Algolia and Pinecone, and as a simpler option than Elasticsearch. It keeps its index in memory and is written in C++.

The project's feature topics include typo tolerance and fuzzy matching, full-text search, faceting, geosearch, synonyms, merchandising rules and instant search, and it supports semantic and hybrid search. Public demos let you try it on large datasets, such as 32 million songs from MusicBrainz, 28 million books from OpenLibrary, a recipe set, Linux kernel commit messages, an ecommerce store experience, a geosearch listing browser and semantic search over Hacker News comments.

Typesense is licensed under GPL-3.0 and can be run on your own servers, and a managed Typesense Cloud service is also available. Documentation, a roadmap, a Slack community and video introductions are provided. It suits developers who want Algolia-style search with the option to self-host and keep costs predictable.

Manticore Search is an open-source database built specifically for search. It supports full-text queries, vector retrieval and a hybrid mode that combines the two in a single query, with real-time indexing and an SQL interface. The project is written in C++ and presents itself as an alternative to Elasticsearch.

Queries run on multiple threads and use all available CPU cores to keep response times low. Features listed in the README include full-text search that handles both small and large datasets, hybrid search for better relevance, and auto-embeddings that create vectors from text and can break long documents into chunks. Its topics reference BM25, MySQL protocol compatibility, JSON, stream filtering and a Sphinx heritage.

The project publishes reproducible benchmarks comparing it with other engines, and notes that results depend on the workload. Manticore Search is licensed under GPL-3.0, runs on your own infrastructure and is offered with documentation, courses, a forum and community chat. It suits teams building site search, log search or semantic search who want a lighter-weight engine than a full Elastic stack.

Orama is a search engine written in TypeScript that can be embedded wherever JavaScript runs, including browsers, servers and edge networks. Beyond keyword search it also supports vector search and a hybrid mode, and it aims to serve as the retrieval part of RAG pipelines.

Highlighted features include full-text search alongside semantic vector lookup, a hybrid mode, GenAI chat sessions, search filters, geosearch, pinning rules for merchandising, facets, field boosting, typo tolerance, exact match, BM25 ranking, stemming and tokenization in 30 languages, and a plugin system. A schema defines the indexed fields, and ten data types are supported, including strings, numbers, booleans, enums, geopoints and arrays of these.

Orama installs with npm, yarn, pnpm or bun, can be imported straight into a browser module and works with Deno. The repository lists the licence as Other, and the project offers documentation and a Slack channel. It suits developers adding fast on-site search or AI retrieval to apps without running a separate search server.

Tinysearch is a lightweight, fast full-text search engine designed for static websites. It is written in Rust and compiled to WebAssembly, so the search index and query logic run in the browser with no search server. It can be used with static site generators such as Jekyll, Hugo, Zola, Cobalt, or Pelican, and it is released under the Apache-2.0 license.

It is a Rust and WebAssembly port of an approach to full-text search that uses Bloom filters, and the project presents it as a lighter alternative to lunr.js and elasticlunr, which load a lot of JavaScript for small sites. The README gives an example of the author's own site: an index of 73 posts produces a WASM payload of 179 kB, or 83 kB gzipped.

By default it stores a sorted vocabulary with exact posting lists that map each word to the pages that contain it. It suits bloggers and documentation maintainers who want instant client-side search on a statically hosted site without adding a backend service or sending queries to a third party.

Fess is an open-source enterprise search server that you install and run on any platform with a Java runtime. It is built on OpenSearch but does not require prior OpenSearch knowledge, because everything is configured in a browser-based administration interface. It can also serve as a free site search for your own website.

A built-in crawler collects documents from web sites, file systems and data stores such as databases, CSV files, cloud storage and SaaS sources, and handles many formats including Microsoft Office files, PDF and archives. Search supports faceting, sorting and suggestions, results can be filtered by role and permission, and single sign-on works with LDAP, OpenID Connect, SAML, SPNEGO and Microsoft Entra ID. It offers a REST API, text analysis for over 20 languages, plugins, and AI features for RAG and semantic search.

Fess is written in Java and licensed under Apache-2.0. It needs Java 21 or newer for the ZIP, RPM and DEB packages, and Docker images bundle OpenSearch. It suits organizations that want a private, self-managed alternative to Elasticsearch-based setups or Google Site Search.

OpenSearchServer is enterprise-class search engine software built on Lucene. With its web user interface, crawlers and JSON web service, you can add advanced full-text search to an application quickly. It runs on Linux, Unix, BSD and Windows.

Search functions include phonetic search, boolean queries with a query language, faceted and collapsed results, filters via sub-requests, geolocation, spell-checking, relevance customization and auto-completion suggestions. Indexing supports 18 languages with per-language analyzers, lemmatization, n-grams, synonyms, automatic language recognition, named entity recognition and automatic classification.

It can index HTML, Microsoft Office and OpenOffice documents, PDFs with OCR, RTF, plain text, audio metadata and images through OCR, using web, file system and database crawlers. OpenSearchServer is licensed under Apache-2.0; the README notes a Docker image was still to come, and documentation and binaries are on the project site.