search engine / vector search
Orama is a lightweight embedded TypeScript search engine and RAG pipeline supporting full-text, vector, and hybrid search in browser, server, or edge.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Postgres-native hybrid search extension; choose when you want SQL access and data stored in Postgres rather than an embedded JS library.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Scalable AI search platform; choose when you need high-volume serving, advanced ranking, and machine-learned models.
The AI search platform
AI-native database with dense/sparse/tensor/full-text search; choose when you need a fast standalone hybrid search server.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
AI-native search database unifying vector and structured data; choose when you need an all-in-one agent storage engine.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
Standalone self-hosted search API; choose when you want a REST service with full-text and hybrid search rather than client-side code.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Scalable vector database with hybrid search; choose when you need fault-tolerant, filterable vector storage as a server.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Embedded multimodal retrieval library in Rust; choose when you want an in-process store with vector and full-text search in Rust.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Rust in-process library and server for lexical+vector search; choose when you want Rust-native embedding or multi-tenancy.
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Self-hosted fuzzy search API with vector support; choose when you need in-memory typo-tolerant search as a server.
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Standalone search database with SQL and real-time indexing; choose when you want full-text plus vector in one server with SQL.
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
Enterprise search server with web crawling; choose when you need a self-hosted site search and indexer rather than embedded search.
Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.
Real-time analytics and hybrid search database; choose when you need analytical workloads and hybrid search in one system.
Apache Doris is a real-time analytics and hybrid search database for AI agents.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Dedicated vector database; choose when you need scalable vector-only similarity search and can supply your own full-text layer.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Postgres vector similarity extension; choose when you already use Postgres and only need vector search, not full-text/hybrid from Orama.
Open-source vector similarity search for Postgres
Graph-vector OLTP database on object storage; choose if you need graph+vector workloads, not full-text search.
HelixDB is an OLTP graph-vector database built in Rust on Object Storage.
In-process vector-only database; choose when you need lightweight embedded vector search but no full-text/hybrid.
A lightweight, lightning-fast, in-process vector database
Vector database management system; choose for server-side vector-only search, but maintenance is stale.
Epsilla is a high performance Vector Database Management System
Distributed vector-only search; choose when you need scale-out vector similarity without full-text.
Distributed vector search for AI-native applications
Postgres vector extension with AGPL license; choose for Postgres vector-only search but it is stale and lacks full-text.
PostgreSQL vector database extension for building AI applications
These projects were analysed and named orama among their alternatives. The relationship is not symmetric — how orama rates them is a separate judgement, made when orama is analysed in its own right.
calls orama “in-process TypeScript search/RAG library; choose for browser/edge apps with tiny bundle size.”
A lightweight, lightning-fast, in-process vector database
calls orama “Choose when you need a very small (2kb) TypeScript search engine that runs in browser/server/edge with full-text and vector search; API differs from FlexSearch.”
Next-generation full-text search library for Browser and Node.js
calls orama “Choose it over lunr when you want a small client-side search library that also supports vector and hybrid search.”
A bit like Solr, but much smaller and not as bright
calls orama “When you need embedded search in a browser, serverless function, or edge with no dedicated search server.”
Free and Open Source, Distributed, RESTful Search Engine
calls orama “Choose when you need search in browser/edge environments with a tiny footprint.”
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
calls orama “Choose Orama when you need a complete search engine that runs in the browser or edge with low weight and no server, albeit with smaller dataset limits.”
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
calls orama “choose for a tiny embedded search engine with vectors and full-text in the browser or edge, offering low-latency on small datasets.”
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
calls orama “Choose when you need a tiny embedded search engine in JavaScript/TypeScript running in the browser or edge, rather than a server-side vector database.”
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
calls orama “choose when you want an embedded search engine in a browser/edge/server library under 2KB instead of a separate service”
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
calls orama “choose for a ~2KB in-browser/edge vector search library with no server.”
Open-source vector similarity search for Postgres
calls orama “when you need search that runs in-browser, at the edge, or on a server without a heavyweight daemon.”
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
calls orama “Choose when you need both full-text and vector search on the client/edge, accepting a broader API.”
Lightweight fuzzy-search, in JavaScript
calls orama “Choose for embedded client-side or edge search in JavaScript apps where a standalone database server is overhead.”
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
calls orama “When you need a lightweight TypeScript full-text/vector search in client/edge environments.”
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
calls orama “Choose when you want search embedded in a JS runtime or browser with no separate server.”
🔎 Open source distributed and RESTful search engine.
calls orama “Choose for embedded full-text/vector search in JavaScript/TypeScript apps without a separate server; runs in-browser/edge, not a standalone database with SQL.”
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
calls orama “Choose it when you need a tiny in-process or edge search/RAG library in TypeScript rather than a server-side Postgres extension.”
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
calls orama “pick in browser/edge JS for in-process full-text and vector search where you can't ship a server DB”
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
calls orama “In-browser/edge search and RAG library; choose it when you need a tiny full-text/vector search inside a JS app and no database server.”
Apache Doris is a real-time analytics and hybrid search database for AI agents.
calls orama “In-process JS search library; choose it for lightweight client-side full-text/vector search without a database.”
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.