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StackGrep Engine vs Meilisearch

Meilisearch is an open-source, typo-tolerant search engine for search-as-you-type, self-hosted or on Meilisearch Cloud. Regex queries aren't supported (people ask for them in its GitHub issues). StackGrep Engine is something else: exact text and regex search over your own documents, built for AI agents, with every match counted and your index kept in object storage.

Join the waitlist See the engine

What StackGrep does differently

  • Regex search over whole documents, which Meilisearch doesn't support
  • Exact matching over long documents, not typo-tolerant ranking
  • Exact counts of every match
  • Bucket sync from S3 and a hosted MCP server
  • Storage-priced: idle collections cost storage only

When Meilisearch is the better pick

If you're building a search bar for people, want typo tolerance and relevance tuning, and prefer software you can self-host.

Three calls to try it

POST /api/collections/docs/docs     {"docs": [{"id": "a1", "text": "...", "meta": {"team": "ops"}}]}
GET  /api/collections/docs/search?q=net+30&filter=team:ops
GET  /api/collections/docs/count?q=net+30

Quickstart →

Questions

Can I use both?

Yes. Many teams use a typo-tolerant engine for their users and StackGrep for their agents and internal tools.

Does StackGrep support facets?

It filters by metadata (customer:globex type:invoice) and counts matches exactly; it doesn't compute facet distributions.

Other comparisons

Elasticsearch alternativeAlgolia alternativeTypesense alternativeturbopuffer alternativePinecone alternative

Use cases

Hosted grep for your AI agentsExact counts for RAG and agentsExact match search for AI agentsRAG without embeddingsGrep an S3 bucket: search the contents of every fileA regex search API that doesn't scan everythingA knowledge base MCP server for your documentsFind every contract that says exactly this

Give your agents exact search

StackGrep Engine is onboarding teams from the waitlist. Bring your documents or your bucket.

Join the waitlist Read the docs