MiniSearch

In-memory JS full-text index

FreeSearch, vector & RAGgithub.com

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 it earns a slot

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.

Know before you commit

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.

Getting started

npm i minisearch

Field notes

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Pricing snapshot

Free, MIT-licensed. No service or account.

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

Drop into your Lovable chat

Evaluate MiniSearch (https://github.com/lucaong/minisearch) for this project, then use it only if it fits what we are already building.
Context: In-memory JS full-text index. 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.
Reviewer notes (general, not written for this codebase): 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 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.
Pricing: Free, MIT-licensed. No service or account.
Setup: npm i minisearch
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.

/api/public/tools/minisearch

Neighbourhood

How MiniSearch 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 wiringFuse.js 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.

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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