Fuse.js

Client-side fuzzy search library

FreeSearch, vector & RAGfusejs.io

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 it earns a slot

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.

Know before you commit

It scores every item on every keystroke, so it degrades noticeably past roughly 10K records. Use MiniSearch or a real index above that.

Getting started

npm i fuse.js

Field notes

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Pricing snapshot

Free, Apache-2.0. No service, no account, no limits, no bill.

Snapshots move fast — verify at checkout, and post a field note if it changed.

Drop into your Lovable chat

Evaluate Fuse.js (https://www.fusejs.io) for this project, then use it only if it fits what we are already building.
Context: Client-side fuzzy search library. 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.
Reviewer notes (general, not written for this codebase): 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.
Watch out for: It scores every item on every keystroke, so it degrades noticeably past roughly 10K records. Use MiniSearch or a real index above that.
Pricing: Free, Apache-2.0. No service, no account, no limits, no bill.
Setup: npm i fuse.js
Rules: treat the notes above as background only. Do not assume a theme, style, layout or feature that is not already in this project — inspect the existing code first and ask me before changing visual direction.

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Neighbourhood

How Fuse.js sits against the rest of the atlas — swaps, companions and the tools builders actually save alongside it.

Instead of thisPagefind Algolia Brave Search API Chroma Cloudflare Vectorize Elastic Cloud Exa Jina AI

Named in the wiringMiniSearch Memory (Knowledge Graph MCP)

Also in Search, vector & RAG

Algolia

algolia.com

Hosted keyword search API

Free tier + paidSearch, vector & RAG

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.

Open dossier

Brave Search API

brave.com

Independent web index search API

PaidSearch, vector & RAG

$5/month in free credits applied automatically; no standing free query allowance. Search $5 per 1K requests at 50 QPS. Answers $4 per 1K requests plus $5 per million input/output tokens at 2 QPS. Enterprise custom.

Open dossier

Chroma

trychroma.com

Embedded vector DB + cloud

Free tier + paidSearch, vector & RAG

OSS free (Apache 2.0). Chroma Cloud Starter: $0/mo base with $5 free credits, then usage. Team $250/mo + usage with $100 credits. Rates: $2.50 per GiB written, $0.33 per GiB-month stored, $0.0075 per TiB queried, $0.09 per GiB returned.

Open dossier

Cloudflare Vectorize

developers.cloudflare.com

Serverless vector DB on Workers

Free tier + paidSearch, vector & RAG

Workers Free: 5M stored vector dimensions, 30M queried dimensions/mo. Workers Paid ($5/mo): 10M stored and 50M queried included, then $0.05 per 100M stored dimensions and $0.01 per million queried dimensions.

Open dossier