whereismyai
Orama
Orama is a search engine and retrieval-augmented generation pipeline for browsers, servers, and edge networks.
Orama is an open source search engine and retrieval-augmented generation pipeline written in TypeScript. It supports full-text, vector, and hybrid search across JavaScript runtimes. Developers can create instances, define schemas, insert documents, and execute search queries. The library operates with zero dependencies and works directly in browser modules or server environments. It provides features like text analysis, results pinning, and an answer engine.
Orama at a glance
- Best for: Software engineer
- Runs on: Web, API, self-hosted, open source
- Pricing: Freemium
- Released: May 2022
- Category: AI search engine
- Website: docs.orama.com
Key features
- Full-text search
- Vector search
- Hybrid search
- Retrieval-augmented generation pipeline
- Results pinning and merchandising
- Plugin system
- Text analysis
Use it for
- Build in-browser search engines
- Execute server-side search queries
- Implement retrieval-augmented generation on edge networks
Alternatives to Orama
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- XERJ — It answers agent questions from an index instead of wasting tokens on context windows.
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- Hister — Protects privacy with a self-hosted search index for your pages and files.
- Firecrawl — Provides direct web data access for AI agents with open source flexibility.
- AnySearch MCP — It delivers high accuracy, fast latency, and structured outputs for AI agents.
- MemFree — It combines hybrid web search with AI summarization and page generation.
- USearch — It uses SIMD instructions and optimized concurrency to outperform FAISS.
- Infinity — Achieves 0.1 milliseconds query latency on million-scale vector datasets.
- AnyCrawl — Provides clean, structured, and LLM-ready data from any website.
- ort — Provides an ergonomic Rust API for running high-performance ONNX models.
- Meilisearch — It returns answers in less than 50 milliseconds with out-of-the-box relevancy.
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