Adds initial semantic search crate (#1774)

* [feat]: Add a new semantic_search_client crate that provides vector embedding 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)

* Update semantic_search_client dependencies in Cargo.toml

* Refactor embedder implementation for Linux platforms to use trait objects

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.

* Update Cargo.lock file

* Remove redundant CandleTextEmbedder import for non-macOS/Windows platforms

---------

Co-authored-by: Kenneth Sanchez V <[email protected]>

Author: kensave

.github/workflows/typos.yml

@@ -18,3 +18,5 @@ jobs:
         uses: actions/checkout@v4
       - name: Check spelling
         uses: crate-ci/typos@master
+        with:
+          config: .typos.toml

.lintstagedrc.mjs

@@ -8,5 +8,5 @@ export default {
   ],
   "*.py": ["ruff format --check", "ruff check"],
   "*.{ts,js,tsx,jsx,mjs}": "prettier --check",
-  "!(*test*)*": "typos",
+  "!(*test*)*": "typos --config .typos.toml",
 };

.typos.toml

@@ -0,0 +1,4 @@
+[files]
+
+[default.extend-words]
+mmaped = "mmaped"