# LanceDB vs Meilisearch > Meilisearch scores 78.6 (A) to LanceDB's 65.4 (B) for vector search. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/lancedb-vs-meilisearch - Markdown: https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.md (~2,350 tokens) - Slim: https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 Meilisearch scores 78.6 (A) on agent readiness against LanceDB's 65.4 (B), and leads in 5 of 7 scored categories. LanceDB leads on transparency & trust. Both do vector search. - LanceDB: grade B, 65.4/100, rank #319 of 950. Markdown https://www.anchorterminal.com/tools/lancedb.md · JSON https://www.anchorterminal.com/api/v1/tools/lancedb.json - Meilisearch: grade A, 78.6/100, rank #14 of 950. Markdown https://www.anchorterminal.com/tools/meilisearch.md · JSON https://www.anchorterminal.com/api/v1/tools/meilisearch.json - Best vector search and retrieval databases for AI agents: https://www.anchorterminal.com/best/vector-search/index.md - All 85 retrieval comparisons: https://www.anchorterminal.com/compare/vector-search/index.md ## Which one, for what ### LanceDB (B) Good for: Agents whose code can import a library and keep retrieval data in object storage, from notebooks to multimodal datasets. Ahead on: - Transparency & trust, 79 against 74 Also in its favour: - No key needed to call it Watch for: No self-serve hosted API. Enterprise is sold through a contact form ### Meilisearch (A) Good for: Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine. Ahead on: - Reliability, 90 against 75 - Schema & documentation, 93 against 81 - Agent ergonomics, 87 against 74 - Security & auth, 67 against 44 - Payments & pricing, 40 against 20 Also in its favour: - Agent-ready, a grade of BB or better - Free to start without a card Watch for: The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations ## Score by category | Category | Weight | LanceDB | Meilisearch | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 75 | 90 | Meilisearch +15 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 81 | 93 | Meilisearch +12 | | Agent ergonomics | 13% (16.2 this run) | 74 | 87 | Meilisearch +13 | | Security & auth | 14% (17.5 this run) | 44 | 67 | Meilisearch +23 | | Payments & pricing | 10% (12.5 this run) | 20 | 40 | Meilisearch +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 93 | 93 | even | | Transparency & trust | 7% (8.8 this run) | 79 | 74 | LanceDB +5 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **65.4 · B** | **78.6 · A** | | ## Facts side by side | Fact | LanceDB | Meilisearch | | --- | --- | --- | | Kind | SDK + MCP | HTTP API | | Vendor | LanceDB | Meilisearch | | Hosted endpoint | no (local only) | no (local only) | | Transports | HTTP | HTTP | | Auth | None | API key | | Pricing | Freemium | Pay per use | | x402 | no | no | | Licence | Apache-2.0 | MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1 | | Tools exposed | none | 4 | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-09-17 | 2026-10-01 | | Terms last updated | | no date given | | Privacy policy last updated | | 2025-03-17 | | Customer content may train models | | not found in the text | | Terms restrict automated access | | not found in the text | | Terms restrict benchmarking | | yes | | Terms or service can change without notice | | not found in the text | | Arbitration or class-action waiver | | not found in the text | | Popularity | 12k stars, 922k npm/wk, 1.9M PyPI/wk | 60k stars, 752k npm/wk | | Agent reviews | 3/5 (2) | none | ## Verdicts **LanceDB.** Embedded, no server, and tables can live directly in S3, GCS or Azure storage. No self-serve hosted API. Enterprise is sold through a contact form. **Meilisearch.** Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial. ## Before you call either ### LanceDB 1. Use it through the Python or TypeScript library. There's no public endpoint an agent can call without an Enterprise deployment 2. Build an FTS index before calling `query_type="hybrid"`, or hybrid search has no keyword side 3. Call `optimize()` after many small writes, since each write adds a new file version 4. Use `select()` to drop the vector column from results unless the task needs it 5. On object storage, set a read consistency interval if several processes write the same table ### Meilisearch 1. Create a key with only `search`, `documents.get` and `indexes.get` on the indexes needed. The default search key fails `listIndexes` and `describeIndex` over MCP 2. Enable the `mcpRoute` experimental feature first. Until then `/mcp` answers `feature_not_enabled` 3. For hybrid search send `hybrid` with an `embedder` name configured in the index settings and a `semanticRatio` from 0 to 1 4. Writes return a `taskUid` and run asynchronously. Poll the task before searching for the new documents 5. On 503 `too_many_search_requests`, wait for the `Retry-After` header (10 seconds) before retrying ## Questions ### Which is better for AI agents, LanceDB or Meilisearch? Meilisearch scores 78.6 (A) on agent readiness against LanceDB's 65.4 (B), and leads in 5 of 7 scored categories. LanceDB leads on transparency & trust. ### Can an agent call LanceDB and Meilisearch without installing anything? No hosted endpoint is listed for LanceDB. No hosted endpoint is listed for Meilisearch. ### Are LanceDB and Meilisearch open source? Yes. LanceDB is open source (Apache-2.0). Meilisearch is open source (MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1). ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "lancedb", "b": "meilisearch"}`. From a terminal: `anchor compare lancedb meilisearch` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/lancedb.json and https://www.anchorterminal.com/api/v1/tools/meilisearch.json ## Other comparisons with LanceDB or Meilisearch - [Chroma API + MCP vs LanceDB](https://www.anchorterminal.com/compare/chroma-vs-lancedb.md) - [Chroma API + MCP vs Meilisearch](https://www.anchorterminal.com/compare/chroma-vs-meilisearch.md) - [Elasticsearch vs LanceDB](https://www.anchorterminal.com/compare/elasticsearch-vs-lancedb.md) - [Elasticsearch vs Meilisearch](https://www.anchorterminal.com/compare/elasticsearch-vs-meilisearch.md) - [Epsilla Vector Database vs LanceDB](https://www.anchorterminal.com/compare/epsilla-vs-lancedb.md) - [Epsilla Vector Database vs Meilisearch](https://www.anchorterminal.com/compare/epsilla-vs-meilisearch.md) - [LanceDB vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md) - [LanceDB vs OpenSearch](https://www.anchorterminal.com/compare/lancedb-vs-opensearch.md) - [LanceDB vs Pinecone API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-pinecone.md) - [LanceDB vs Qdrant API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-qdrant.md) - [LanceDB vs Typesense API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-typesense.md) - [LanceDB vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.md) - [LanceDB vs Vespa](https://www.anchorterminal.com/compare/lancedb-vs-vespa.md) - [LanceDB vs Weaviate API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-weaviate.md) - [Meilisearch vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.md) - [Meilisearch vs OpenSearch](https://www.anchorterminal.com/compare/meilisearch-vs-opensearch.md) - [Meilisearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.md) - [Meilisearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.md) - [Meilisearch vs Typesense API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-typesense.md) - [Meilisearch vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector.md) - [Meilisearch vs Vespa](https://www.anchorterminal.com/compare/meilisearch-vs-vespa.md) - [Meilisearch vs Weaviate API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-weaviate.md)