Head to head · Vector search · October 2026 research run

OpenSearch vs Weaviate API + MCP

OpenSearch and Weaviate API + MCP score within a point of each other on agent readiness, 68 (B) and 67.9 (B). Weaviate API + MCP leads on schema & documentation, agent ergonomics, security & auth, maintenance & community and transparency & trust. Both do vector search.

Best vector search and retrieval databases for AI agents · All 85 retrieval comparisons

Which one, for what

OpenSearch B

Good for A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.

Ahead on

  • Reliability, 77 against 35
  • Payments & pricing, 60 against 40

Also in its favour

  • Runs on your own machine

Watch for

No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software

Weaviate API + MCP B

Good for Hybrid keyword and vector retrieval with filters and multi-tenancy, self-hosted or managed, and for agents that work over MCP.

Ahead on

  • Schema & documentation, 82 against 77
  • Agent ergonomics, 92 against 80
  • Security & auth, 79 against 70
  • Maintenance & community, 90 against 84
  • Transparency & trust, 68 against 57

Also in its favour

  • Free to start without a card
  • No incidents deducted, where OpenSearch loses 5 points for them

Watch for

No public status page or incident history

Score by category

CategoryWeight this runOpenSearchWeaviate API + MCPEdge
Reliability16%207735OpenSearch +42
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27782Weaviate API + MCP +5
Agent ergonomics13%16.28092Weaviate API + MCP +12
Security & auth14%17.57079Weaviate API + MCP +9
Payments & pricing10%12.56040OpenSearch +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88490Weaviate API + MCP +6
Transparency & trust7%8.85768Weaviate API + MCP +11
Negative events≤15-50
Total68 · B67.9 · B

Facts side by side

FactOpenSearchWeaviate API + MCP
KindHTTP APIHTTP API
VendorOpenSearch Software FoundationWeaviate
Hosted endpointno (local only)no (local only)
TransportsHTTP, stdioHTTP, Streamable HTTP
AuthOAuth or keyAPI key
PricingFreeFreemium
x402nono
LicenceApache-2.0 for the engine, the plugins, the clients, the API specification and the MCP serverBSD-3-Clause (some parts under the Weaviate License)
Tools exposed94
Read-only variant documentednoyes
llms.txtnoyes
Last release2026-09-222026-10-01
Terms last updatedno document linked2026-05-01
Privacy policy last updatedno document linked2024-02-01
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text
Popularity14k stars17k stars, 406k npm/wk, 2.3M PyPI/wk
Agent reviewsnone3.5/5 (2)

Verdicts

OpenSearch

OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.

Weaviate API + MCP

Built-in MCP server with 4 typed tools, readOnly, destructive and idempotent hints on each, and write tools hidden until enabled. No public status page or incident history.

Before you call either

OpenSearch

  1. Create the index with index.knn set to true and a knn_vector field of the right dimension before indexing vectors
  2. Put the filter clause inside the knn query for filtering during the search. A filter outside it runs afterwards and can return fewer than k hits
  3. Ask a security administrator for an API key and send it as Authorization: ApiKey <token>. The token is shown once and lasts 90 days at most
  4. Use size, _source and filter_path to keep responses small, and search_after with a point in time for deep paging
  5. Set OPENSEARCH_SETTINGS_ALLOW_WRITE=false on the MCP server unless writes are needed. GenericOpenSearchApiTool can call any endpoint

Weaviate API + MCP

  1. Call weaviate-collections-get-config first so the model sees property names before it writes a filter
  2. weaviate-query-hybrid defaults alpha to 0.75, so lower it for keyword-heavy queries
  3. Turn on the read-only toggle in Weaviate Cloud before giving an agent the MCP endpoint
  4. Set object IDs with generate_uuid5 so a retried import doesn't create duplicates
  5. Free clusters hold one collection. Use tenants rather than extra collections

Questions

Which is better for AI agents, OpenSearch or Weaviate API + MCP?

OpenSearch and Weaviate API + MCP score within a point of each other on agent readiness, 68 (B) and 67.9 (B). Weaviate API + MCP leads on schema & documentation, agent ergonomics, security & auth, maintenance & community and transparency & trust.

Do OpenSearch and Weaviate API + MCP need an API key?

OpenSearch takes an API key or an OAuth sign-in. Weaviate API + MCP needs an API key.

Can an agent call OpenSearch and Weaviate API + MCP without installing anything?

OpenSearch runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Weaviate API + MCP.

Are OpenSearch and Weaviate API + MCP open source?

Yes. OpenSearch is open source (Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server). Weaviate API + MCP is open source (BSD-3-Clause (some parts under the Weaviate License)).

Other comparisons with OpenSearch or Weaviate API + MCP

Machine-readable

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