A collection of comprehensive optimization guides for Weaviate Vector Database.
Learn how to optimize inverted indexes in Weaviate for maximum performance and efficiency. This guide covers:
- Index types and their use cases
- Tokenization strategies
- Best practices and common pitfalls
- Real-world implementation examples
Improve vector search performance by choosing the right index strategy, tuning HNSW, and configuring compression and environment variables for production readiness.
Production checklist for ingesting 5M–100M objects on 3+ node clusters. Covers ingestion, sharding strategy compression, batching patterns, decision tree for bottlenecks, and troubleshooting cheats.
Essential best practices for maximizing Query Agent performance. Covers schema design, data type precision, property management with view_properties, and performance optimization strategies for collections with 100+ properties.
Architect, configure, and operate multi-tenant collections efficiently. Learn when to use multi-tenancy, manage tenant states for cost optimization, handle backups and data safety, enforce access control, and follow production best practices for scaling to millions of tenants.
These guides are designed to help developers:
- Understand complex indexing concepts
- Optimize database performance
- Avoid common configuration mistakes
- Implement best practices in production environments
If you have suggestions or improvements, feel free to open an issue or submit a pull request. All Contributions are welcome!