Vector Documentation Skill
Quick Start
Vector is a high‑performance vector database for storing, querying, and managing vector embeddings.
Basic workflow:
- Install the Vector TS SDK.
- Connect to a Vector instance.
- Upsert vectors, query them, and manage namespaces.
Example (TypeScript):
import { Index } from "@upstash/vector";
const index = new Index({
url: process.env.UPSTASH_VECTOR_REST_URL!,
token: process.env.UPSTASH_VECTOR_REST_TOKEN!,
});
await index.upsert([{ id: "1", vector: [0.1, 0.2], metadata: { tag: "example" } }]);
const results = await index.query({
vector: [0.1, 0.2],
topK: 5,
});
For full usage, refer to the linked skill files below.
Other Skill Files
TS SDK Reference
sdk-methods: Explains SDK commands: delete, fetch, info, query, range, reset, resumable-query, upsert
Features
features/namespaces: Explains namespaces and dataset organization.features/index-structure: Covers hybrid and sparse index structures.features/filtering-and-metadata: Details metadata storage and server-side filtering.
Use these files for deeper guidance on SDK usage, advanced configurations, algorithms, and integrations.
1---2name: upstash-vector-js3description: Provides quick-start guidance and a unified entry point for Vector features, SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or supported frameworks.4---56# Vector Documentation Skill78## Quick Start910Vector is a high‑performance vector database for storing, querying, and managing vector embeddings.1112Basic workflow:1314- Install the Vector TS SDK.15- Connect to a Vector instance.16- Upsert vectors, query them, and manage namespaces.1718Example (TypeScript):1920```ts21import { Index } from "@upstash/vector";22const index = new Index({23 url: process.env.UPSTASH_VECTOR_REST_URL!,24 token: process.env.UPSTASH_VECTOR_REST_TOKEN!,25});2627await index.upsert([{ id: "1", vector: [0.1, 0.2], metadata: { tag: "example" } }]);2829const results = await index.query({30 vector: [0.1, 0.2],31 topK: 5,32});33```3435For full usage, refer to the linked skill files below.3637## Other Skill Files3839### TS SDK Reference4041- `sdk-methods`: Explains SDK commands: delete, fetch, info, query, range, reset, resumable-query, upsert4243### Features4445- `features/namespaces`: Explains namespaces and dataset organization.46- `features/index-structure`: Covers hybrid and sparse index structures.47- `features/filtering-and-metadata`: Details metadata storage and server-side filtering.4849Use these files for deeper guidance on SDK usage, advanced configurations, algorithms, and integrations.
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