upstash/search TypeScript SDK
Entry point for documentation skills covering Upstash Search quick starts, core concepts, and TypeScript SDK usage. Use when a user asks how to get started, how indexing works, or how to use the TS client.
Works with
---
name: upstash/search TypeScript SDK
description: Entry point for documentation skills covering Upstash Search quick starts, core concepts, and TypeScript SDK usage. Use when a user asks how to get started, how indexing works, or how to use the TS client.
license: MIT
---
# Upstash Search Documentation
## Quick Start
Install the TS SDK:
```
npm install @upstash/search
```
Create a client and perform a simple upsert + search:
```
import { Search } from "@upstash/search";
const client = new Search({ url: process.env.UPSTASH_SEARCH_REST_URL, token: process.env.UPSTASH_SEARCH_REST_TOKEN });
const index = client.index("my-index");
await index.upsert({ id: "1", content: { text: "hello world" } });
const results = await index.search({ query: "hello" });
```
Basic steps:
- Create an index
- Insert or update documents
- Run searches or filtered queries
## Other Skill Files
### sdk-overview
Provides detailed documentation for all TypeScript SDK commands. Includes:
- delete: Deleting documents
- fetch: Retrieving a document
- info: Index info
- range: Range queries
- reset: Clearing an index
- search: Search queries
- upsert: Adding/updating documents
- getting-started: Setup steps for the SDK
### quick-start
Provides a fast, end-to-end workflow for creating a Search database, adding documents, and querying them. Covers essential concepts including:
- Creating a database and storing credentials
- Adding documents with content and metadata
- Understanding content vs metadata (searchability and filterability)
- Performing searches with optional reranking
- Filtering syntax with SQL-like or structured filters
- Common pitfalls and best practicesMore Writing & Documentation skills
paper-context-resolver
lllllllama/rigorpilot-skills
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
repo-intake-and-plan
lllllllama/rigorpilot-skills
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.

