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Weaviate

Open-source vector database for AI applications

Weaviate is an open-source vector database that stores both objects and vectors, allowing for semantic and hybrid search.

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Features

✓Hybrid search
✓Multi-tenancy
✓Generative search
✓Module system
✓GraphQL API

Integration Example

Use Weaviate through Keystore with zero code changes. Keys are resolved from the vault and injected at request time.

weaviate-example.ts
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import Keystore from "@keystore/sdk";

const ks = new Keystore({ agentToken: process.env.KS_TOKEN! });
ks.interceptAll();

// All requests to Weaviate's API are automatically
// intercepted and routed through the Keystore proxy.
// Real credentials are injected server-side.
const res = await fetch("https://api.weaviate.com/v1/...", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ /* your payload */ }),
});
const data = await res.json();
console.log(data);

Use Cases

Semantic search
RAG applications
Recommendation engines
Knowledge graphs

Ready to use Weaviate?

Request access and our concierge team will provision credentials for you — usually within 24 hours. No setup on your end.

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