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Adds initial semantic search crate #1774
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #1774 +/- ##
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Coverage ? 16.75%
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Files ? 213
Lines ? 20704
Branches ? 871
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Hits ? 3468
Misses ? 17236
Partials ? 0 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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…mbedding and
semantic search capabilities for the Amazon Q CLI. This implementation:
- Supports text embedding generation using Candle and ONNX runtimes
- Provides hardware acceleration via Metal on macOS
- Implements efficient vector indexing for semantic search
- Includes file processing utilities for various file types
- Supports persistent storage of semantic contexts
- Includes comprehensive test coverage
This crate will enable memory bank functionality for Amazon Q, allowing
users to create, manage, and search through semantic memory contexts.
🤖 Assisted by [Amazon Q Developer](https://aws.amazon.com/q/developer)
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…ects This change modifies the semantic search client to use Box<dyn TextEmbedderTrait> on Linux platforms instead of directly using CandleTextEmbedder. This provides more flexibility and consistency with the implementation on macOS and Windows, allowing for better extensibility and polymorphic behavior across all platforms.
brandonskiser
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May 14, 2025
This reverts commit 029f760.
chaynabors
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May 14, 2025
This was referenced May 14, 2025
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Add a new semantic_search_client crate that provides vector embedding and
semantic search capabilities for the Amazon Q CLI. This implementation: