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# Algolia API Skill
## Overview
Algolia provides ultra-fast full-text search. This skill focuses on indexing data from the backend and searching from the frontend.
## Installation
```bash
npm install algoliasearch
pip install algoliasearch
```
## Authentication
Frontend clients use the Search-Only API Key. Backends use the Admin API Key for indexing. Never expose the Admin key.
## Core Concepts
- **Index**: A collection of searchable JSON records.
- **ObjectID**: The unique identifier for a record.
- **Facets**: Attributes used for filtering and categorization.
## Common Workflows
1. Backend: Initialize client with Admin Key.
2. Push records to index via `saveObjects`.
3. Frontend: Initialize client with Search Key and query.
## Error Handling
Handle `ApiError`. Common errors are Payload Too Large (chunk your `saveObjects` calls) and Invalid Credentials.
## Security
Use Secured API Keys to restrict frontend search access (e.g., scoping a user's search token to only return their own data).
## Rate Limits
Limits are massive, but batch indexing should be limited to chunks of 1,000 to 10,000 records to prevent timeout.
## Best Practices
Do not store massive text blocks (like full articles) in a single record attribute. Truncate or chunk records to keep them under the 10KB to 100KB limits.
## Troubleshooting
If search results are inaccurate, check the index's 'Searchable Attributes' configuration in the Algolia Dashboard.
## References
- [API Reference](https://www.algolia.com/doc/api-reference/)
## Why use this skill
Use this when your agent works with **algolia** — structured patterns beat pasted docs and prevent common hallucinations.
## AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
## Production checklist
- [ ] Secrets in environment variables, not source code
- [ ] Error handling and logging in place
- [ ] Rate limits and timeouts configured
## Related skills
- No graph relationships yet — see the knowledge graph in the docs site.
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> **Last Verified:** 2026-07-02