Documentation for Vector Search

[GromNaN]

Q	A
Type	documentation
BC Break	no
Fixed issues	PHPORM-346

Summary

Add a tutorial to use Vector Search with an embedding model.

[Copilot]

Pull Request Overview

Adds documentation for using Vector Search with Doctrine MongoDB ODM, including a new cookbook tutorial and clarifies index requirements in stage reference docs.

• Adds a comprehensive vector search cookbook with end-to-end example.
• Inserts notes in aggregation stage reference about required search/vector search indexes.

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 7 comments.

File	Description
docs/en/reference/aggregation-stage-reference.rst	Adds notes about required indexes for $search and $vectorSearch stages.
docs/en/cookbook/vector-search.rst	New tutorial covering embedding generation, model definition, indexing, and querying.

---

_{Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.}

[Copilot]

The example references self::getVector() (undefined in the tutorial) and $qb (never defined). Use a concrete vector variable (e.g., $doc1->voyage3Vector) and replace the filter with a direct expression array, e.g. ->filter(['published' => true]).

Suggested change

	->queryVector(self::getVector())
	->filter($qb->expr()->field('published')->equals(true))
	->queryVector($vectors)
	->filter(['published' => true])

[GromNaN]

The suggestion is incorrect, even if I find it interesting.