Meilisearch
Developer-friendly typo-tolerant search
Algolia
Hosted search with enterprise features
Algolia is the enterprise hosted search — highest polish, best A/B testing, typo tolerance, ranking, analytics. Meilisearch is open-source, self-hostable, and developer-friendly with a free managed Cloud tier. For a fast build with SDKs and enterprise support, Algolia. For open-source / cost control, Meilisearch.
Pick Meilisearch when you want open-source, self-host, or cost control at scale.
Pick Algolia when you want top-tier enterprise search with A/B, analytics, and polish.
| Feature | 🍃Meilisearch | 🔷Algolia | Winner |
|---|---|---|---|
| Open source | Yes (MIT) | No | A |
| Self-host | Yes | No | A |
| Typo tolerance | Excellent | Excellent | Tie |
| Facets / filters | Strong | Strong | Tie |
| Vector / semantic search | Yes (native hybrid) | Yes (AI Search) | Tie |
| A/B testing | Limited | Built-in | B |
| Pricing at 10M searches | $0 self-host / $30-100 Cloud | $500-1000+ | A |
| SDKs | ~15 | ~20 official | B |
Open source
AMeilisearch
Yes (MIT)
Algolia
No
Self-host
AMeilisearch
Yes
Algolia
No
Typo tolerance
TieMeilisearch
Excellent
Algolia
Excellent
Facets / filters
TieMeilisearch
Strong
Algolia
Strong
Vector / semantic search
TieMeilisearch
Yes (native hybrid)
Algolia
Yes (AI Search)
A/B testing
BMeilisearch
Limited
Algolia
Built-in
Pricing at 10M searches
AMeilisearch
$0 self-host / $30-100 Cloud
Algolia
$500-1000+
SDKs
BMeilisearch
~15
Algolia
~20 official
Best for
Best for
API semantics are similar: index documents with a primary key, search with filters/facets/sort. Swap the SDK, rename 'indexName' conventions (Algolia allows any, Meili is similar). Ranking rules differ (Algolia's customRanking vs Meili's ranking_rules[]). Analytics and A/B history don't migrate. Budget 1 week for a non-trivial migration.
Algolia is the enterprise hosted search — highest polish, best A/B testing, typo tolerance, ranking, analytics. Meilisearch is open-source, self-hostable, and developer-friendly with a free managed Cloud tier. For a fast build with SDKs and enterprise support, Algolia. For open-source / cost control, Meilisearch. In short: Meilisearch — Developer-friendly typo-tolerant search. Algolia — Hosted search with enterprise features.
Pick Meilisearch when you want open-source, self-host, or cost control at scale.
Pick Algolia when you want top-tier enterprise search with A/B, analytics, and polish.
API semantics are similar: index documents with a primary key, search with filters/facets/sort. Swap the SDK, rename 'indexName' conventions (Algolia allows any, Meili is similar). Ranking rules differ (Algolia's customRanking vs Meili's ranking_rules[]). Analytics and A/B history don't migrate. Budget 1 week for a non-trivial migration.
Yes. Both have MCP servers installable via MCPizy (mcpizy install meilisearch and mcpizy install algolia). They work identically across Claude Code, Claude Desktop, Cursor, Windsurf, and any other MCP-compatible client. You can install both side by side and route queries in your agent's prompt.
Firecrawl is the new LLM-era scraping API — hit one URL, get back clean Markdown ready for RAG. Apify is the veteran platform with 2000+ pre-built 'actors' for specific sites (LinkedIn, Amazon, Google Maps, etc.) and more general workflow tooling. Firecrawl wins for 'crawl a site and feed an LLM'; Apify wins for 'scrape LinkedIn profiles at scale'.
Firecrawl is scraping optimized for LLMs — it returns clean Markdown/JSON and has a /crawl endpoint that walks a site. ScrapingBee is a general-purpose headless-browser scraping API that returns raw HTML. Firecrawl wins for RAG pipelines; ScrapingBee wins when you want to parse HTML yourself with flexibility.
Meilisearch is a lean, developer-friendly search engine with instant-search and good typo tolerance. Elasticsearch is the heavyweight — fully featured search, analytics, logs, aggregations, and geospatial. For small/medium product search, Meilisearch is faster to adopt; for complex analytics + search + logs, ES.
Not sure? Run both side by side — swap between them in your AI agent with a single config line.