andnp-searchkernel 1.1.0
The new 1.1.0 release of the andnp-searchkernel offers a flexible, source-agnostic engine for indexing and searching diverse data. It supports hybrid search methods, integrating vector, keyword, and graph approaches, with pluggable AI model providers.
Key takeaways
- Supports hybrid search: vector, keyword, and graph.
- Integrates with various AI models.
- Flexible data ingestion from any source.
- Designed for custom search solutions.
Why it matters
This update provides AI users with a more adaptable backend for information retrieval. Its ability to combine different search types and swap out AI models means better accuracy and customization for finding relevant data within complex systems.
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