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Up to 4 tools, same rows for each: what it is, what it really costs, the trap, and how to wire it up. The URL carries your picks — send it to anyone.
OramaFuse.jsMiniSearch
Quick read
- Free with no card: Fuse.js, MiniSearch.
| Field | Oramaorama.com | Fuse.jsfusejs.io | MiniSearchgithub.com |
|---|---|---|---|
| What it is | A sub-2kB search engine that runs anywhere JavaScript does — browser, Node, Deno, edge workers. Does full-text, vector and hybrid search over the same index, plus faceting, geosearch, typo tolerance and stemming for 30+ languages. Orama Cloud adds hosted indexes and AI answers with citations. | A zero-dependency fuzzy-search library using the Bitap algorithm — roughly 6.8kB gzipped for the basic build, 8.6kB for the full one. Searches arrays of JS objects in memory with typo tolerance, field weighting, nested keys and extended query operators. Runs in browsers, Node and Deno. | A dependency-free JavaScript full-text search engine that builds a real inverted index in memory, in the browser or in Node. Supports prefix search, fuzzy matching, field boosting, modern relevance ranking, auto-suggestion, and adding or removing documents at any time. The index serializes to JSON so it can be prebuilt. |
| Category | Search, vector & RAG | Search, vector & RAG | Search, vector & RAG |
| Cost tier | mixed | free | free |
| Pricing | OSS free (Apache 2.0). Orama Cloud is a flat monthly rate plus a one-time onboarding — no published price list; the number appears at checkout or on a sales call. | Free, Apache-2.0. No service, no account, no limits, no bill. | Free, MIT-licensed. No service or account. |
| Why builders pick it | The only search engine small enough to ship inside a Cloudflare Worker or a client bundle and still do hybrid vector search. No server, no cold start, no API key. | When a few hundred to a few thousand items already sit in your app state — a command palette, a settings list, a filterable table — this is ten lines of code and no infrastructure. | The step up from Fuse.js when you have tens of thousands of records — a proper index instead of rescoring every item per keystroke, still with no backend and no bill. |
| Watch out for | The index lives in memory and is rebuilt on every cold start, so it fits thousands of docs, not millions. Cloud pricing is not published. | It scores every item on every keystroke, so it degrades noticeably past roughly 10K records. Use MiniSearch or a real index above that. | The whole index ships to the client, so a large corpus means a large download. Prebuild and cache the serialized JSON rather than indexing on every page load. |
| How to wire it up | npm i @orama/orama | npm i fuse.js | npm i minisearch |
| Editor's pick | No | No | No |
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# Tool comparison — Orama vs Fuse.js vs MiniSearch Source: Kbaise, a directory of tools that work with Lovable projects. Pick one and tell me why before writing any integration code. ## Orama (orama) - URL: https://orama.com - Category: Search, vector & RAG - Cost: mixed — OSS free (Apache 2.0). Orama Cloud is a flat monthly rate plus a one-time onboarding — no published price list; the number appears at checkout or on a sales call. - What it is: A sub-2kB search engine that runs anywhere JavaScript does — browser, Node, Deno, edge workers. Does full-text, vector and hybrid search over the same index, plus faceting, geosearch, typo tolerance and stemming for 30+ languages. Orama Cloud adds hosted indexes and AI answers with citations. - Why builders pick it: The only search engine small enough to ship inside a Cloudflare Worker or a client bundle and still do hybrid vector search. No server, no cold start, no API key. - Trap: The index lives in memory and is rebuilt on every cold start, so it fits thousands of docs, not millions. Cloud pricing is not published. - Wiring: npm i @orama/orama - Full dossier: /api/public/tools/orama ## Fuse.js (fuse-js) - URL: https://www.fusejs.io - Category: Search, vector & RAG - Cost: free — Free, Apache-2.0. No service, no account, no limits, no bill. - What it is: A zero-dependency fuzzy-search library using the Bitap algorithm — roughly 6.8kB gzipped for the basic build, 8.6kB for the full one. Searches arrays of JS objects in memory with typo tolerance, field weighting, nested keys and extended query operators. Runs in browsers, Node and Deno. - Why builders pick it: When a few hundred to a few thousand items already sit in your app state — a command palette, a settings list, a filterable table — this is ten lines of code and no infrastructure. - Trap: It scores every item on every keystroke, so it degrades noticeably past roughly 10K records. Use MiniSearch or a real index above that. - Wiring: npm i fuse.js - Full dossier: /api/public/tools/fuse-js ## MiniSearch (minisearch) - URL: https://github.com/lucaong/minisearch - Category: Search, vector & RAG - Cost: free — Free, MIT-licensed. No service or account. - What it is: A dependency-free JavaScript full-text search engine that builds a real inverted index in memory, in the browser or in Node. Supports prefix search, fuzzy matching, field boosting, modern relevance ranking, auto-suggestion, and adding or removing documents at any time. The index serializes to JSON so it can be prebuilt. - Why builders pick it: The step up from Fuse.js when you have tens of thousands of records — a proper index instead of rescoring every item per keystroke, still with no backend and no bill. - Trap: The whole index ships to the client, so a large corpus means a large download. Prebuild and cache the serialized JSON rather than indexing on every page load. - Wiring: npm i minisearch - Full dossier: /api/public/tools/minisearch ## Quick read - Free with no card: Fuse.js, MiniSearch. ## Rules 1. Prefer the free tier when no budget was stated, and say what the ceiling is. 2. Read the full dossier before integrating. 3. Fetch /api/public/models before writing any AI model ID.
Agents can fetch the same thing: GET /api/public/compare?slugs=orama,fuse-js,minisearch