Full-text search for Google Antigravity IDE
# Search Implementation Guide for Google Antigravity
Master search implementation in Google Antigravity IDE. This guide covers full-text search, fuzzy matching, and search optimization.
## PostgreSQL Full-Text Search
```typescript
// Prisma raw query for full-text search
async function searchPosts(query: string, limit = 20) {
const searchQuery = query.split(" ").join(" & ");
return prisma.$queryRaw`
SELECT
id, title, content,
ts_rank(
to_tsvector('english', title || ' ' || COALESCE(content, '')),
to_tsquery('english', ${searchQuery})
) as rank
FROM posts
WHERE
to_tsvector('english', title || ' ' || COALESCE(content, ''))
@@ to_tsquery('english', ${searchQuery})
ORDER BY rank DESC
LIMIT ${limit}
`;
}
```
## Meilisearch Integration
```typescript
import { MeiliSearch } from "meilisearch";
const client = new MeiliSearch({
host: process.env.MEILISEARCH_HOST,
apiKey: process.env.MEILISEARCH_API_KEY
});
const postsIndex = client.index("posts");
// Index documents
async function indexPosts(posts: Post[]) {
await postsIndex.addDocuments(posts);
}
// Search
async function search(query: string, options?: SearchOptions) {
const results = await postsIndex.search(query, {
limit: options?.limit || 20,
filter: options?.published ? "published = true" : undefined,
attributesToHighlight: ["title", "content"],
attributesToCrop: ["content"],
cropLength: 200
});
return results.hits;
}
// Configure searchable attributes
await postsIndex.updateSettings({
searchableAttributes: ["title", "content", "tags"],
filterableAttributes: ["published", "authorId", "tags"],
sortableAttributes: ["createdAt", "viewCount"]
});
```
## Autocomplete
```typescript
async function autocomplete(prefix: string, limit = 5) {
return postsIndex.search(prefix, {
limit,
attributesToRetrieve: ["id", "title"],
showMatchesPosition: true
});
}
```
## Best Practices
1. **Use proper indexes** - GIN indexes for PostgreSQL
2. **Debounce searches** - Reduce API calls
3. **Highlight matches** - Better UX
Google Antigravity IDE provides search scaffolding.This Search prompt is ideal for developers working on:
By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their search implementations.
Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.
This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.
You can modify the prompt by adding specific requirements, constraints, or preferences. For Search projects, consider mentioning your framework version, coding style, and any specific libraries you're using.