We’re excited to announce the August 2025 release of Manticore Search 13.11.0 , a major update featuring Auto Embeddings — our new way of making AI-powered semantic search simple and efficient. This version also includes automatic embedding generation, bug fixes, and several improvements.

🚀 Auto Embeddings: AI Search Made Easy

The highlight of Manticore Search 13.11.0 is Auto Embeddings — a game-changing feature that makes semantic search as easy as SQL. No need for external services or complex pipelines: just insert text and search with natural language.

What Auto Embeddings Offer:

✨ Automatic embedding generation from your text
✨ Natural language queries that understand meaning, not just keywords
✨ Support for multiple models (OpenAI, Hugging Face, Voyage, Jina)
✨ Smooth integration with SQL and JSON APIs

Quick Example

-- Create table with auto-embeddings
CREATE TABLE products (
    title TEXT,
    description TEXT,
    vector FLOAT_VECTOR KNN_TYPE='hnsw' HNSW_SIMILARITY='l2'
        MODEL_NAME='sentence-transformers/all-MiniLM-L6-v2'
        FROM='title,description'
);

-- Insert data (embeddings generated automatically)
INSERT INTO products(id, title, description) VALUES
  (1, 'wireless headphones', 'Bluetooth headphones with noise cancellation'),
  (2, 'hiking backpack', 'Lightweight backpack for outdoor adventures');

-- Search with natural language
SELECT id, title
FROM products 
WHERE knn(vector, 3, 'portable audio device for music');

Results:

+------+---------------------+
| id   | title               |
+------+---------------------+
|    1 | wireless headphones |
...
+------+---------------------+

Here, semantic search correctly matched “wireless headphones” with the phrase “portable audio device for music,” even though no keywords overlapped.

Learn More

Want a full deep dive? Check out our dedicated article: Introducing Auto Embeddings: AI-Powered Search Made Simple

Other Improvements

Configuration

• Boolean Simplify Support: Added boolean_simplify option for faster query processing
• System Optimization: Sysctl config now auto-increases vm.max_map_count for large datasets
• Package Management: RPM packages no longer own /run directory for better compatibility

Bug Fixes

• Fixed scroll option with large 64-bit IDs
• Fixed KNN crashes when using filter trees
• Fixed /sql endpoint behavior (removed unsupported SHOW VERSION)
• Fixed duplicate ID handling in columnar mode
• Fixed crashes with joined queries using multiple facets
• Fixed delete/update commits in bulk transactions
• Fixed crashes when joining on non-columnar string attributes

System & Integration

• Updated Windows installer script
• Fixed local time zone detection on Linux
• Improved JDBC+MySQL driver compatibility with transaction_read_only
• Enhanced error reporting across components
• Improved master-agent communication for embeddings

Compatibility

Manticore Search 13.11.0 is fully backward compatible:

• No breaking changes in standard use cases
• Smooth upgrades from 13.x versions
• Auto Embeddings work alongside current search features
• APIs are extended, not replaced

Everything is designed to work seamlessly with your existing data and queries.

Upgrade

To upgrade, follow the installation guide .

🚀 Ready to try Auto Embeddings? Start with the documentation .

Need help or want to connect?

• Join our Slack
• Visit the Forum
• Report issues or suggest features on GitHub
• Email us at [email protected]

For full details, see the Changelog .