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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.
AlgoliaFuse.jsMiniSearch
Quick read
- Free with no card: Fuse.js, MiniSearch.
| Field | Algoliaalgolia.com | Fuse.jsfusejs.io | MiniSearchgithub.com |
|---|---|---|---|
| What it is | The incumbent hosted search-as-a-service: you push records to an index over an API and get typo-tolerant, sub-50ms keyword search with faceting, synonyms and analytics. Free tier covers 10,000 search requests and 50,000 records per month. Not self-hostable — it is closed SaaS. | 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 | Free: 10K search requests/mo + 50K records. Grow: $0.50 per 1K searches + $0.40 per 1K records (10K searches / 100K records included). Grow Plus $1.75 per 1K searches. Elevate with NeuralSearch is custom. | Free, Apache-2.0. No service, no account, no limits, no bill. | Free, MIT-licensed. No service or account. |
| Why builders pick it | InstantSearch UI widgets for React, Vue and vanilla JS mean a working search box in an afternoon, and DocSearch is free for open-source docs sites. Models know its API surface cold. | 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 | Billing is per search request, not per user — an as-you-type box fires a request per keystroke unless you debounce. Costs scale with traffic, fast. | 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 algoliasearch react-instantsearch | npm i fuse.js | npm i minisearch |
| Editor's pick | No | No | No |
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# Tool comparison — Algolia 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. ## Algolia (algolia) - URL: https://www.algolia.com - Category: Search, vector & RAG - Cost: mixed — Free: 10K search requests/mo + 50K records. Grow: $0.50 per 1K searches + $0.40 per 1K records (10K searches / 100K records included). Grow Plus $1.75 per 1K searches. Elevate with NeuralSearch is custom. - What it is: The incumbent hosted search-as-a-service: you push records to an index over an API and get typo-tolerant, sub-50ms keyword search with faceting, synonyms and analytics. Free tier covers 10,000 search requests and 50,000 records per month. Not self-hostable — it is closed SaaS. - Why builders pick it: InstantSearch UI widgets for React, Vue and vanilla JS mean a working search box in an afternoon, and DocSearch is free for open-source docs sites. Models know its API surface cold. - Trap: Billing is per search request, not per user — an as-you-type box fires a request per keystroke unless you debounce. Costs scale with traffic, fast. - Wiring: npm i algoliasearch react-instantsearch - Full dossier: /api/public/tools/algolia ## 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.
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