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.

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[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.

[paulinevos]

We don't want to keep the bit about it only being available in Atlas? I guess it's kind of implied by the prior sentence

[GromNaN]

The requirements are detailed in the linked MongoDB documentation. The statement that Atlas is required is no longer entirely true with support of search features in the Enterprise version: https://www.mongodb.com/docs/kubernetes/current/tutorial/install-fts-vs-with-enterprise/

[paulinevos]

This is great. Very clear.