feat: add Google embedding integration

[bwook00]

Description

Add Google Embedding provider

@Pouyanpi,

I used langchain-google-genai.

However, if you're worried about the ‘langchain dependency’, I can change the method to directly use from google import genai.

Related Issue(s)

Fixes #1292

Checklist

• I've read the CONTRIBUTING guidelines.
• I've updated the documentation if applicable.
• I've added tests if applicable.
• @mentions of the person or team responsible for reviewing proposed changes.

[github-actions]

Documentation preview

https://nvidia.github.io/NeMo-Guardrails/review/pr-1304

[Copilot]

Pull Request Overview

This PR adds Google embedding integration to the NeMo Guardrails project by implementing a new GoogleEmbeddingModel provider that uses the langchain-google-genai library.

• Implements GoogleEmbeddingModel class with sync/async embedding capabilities
• Adds comprehensive test suite for Google embeddings functionality
• Updates documentation to include Google as a supported embedding provider

Reviewed Changes

Copilot reviewed 6 out of 6 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
nemoguardrails/embeddings/providers/google.py	Main implementation of GoogleEmbeddingModel class with encoding methods
nemoguardrails/embeddings/providers/init.py	Registers the Google embedding provider in the system
tests/test_embeddings_google.py	Comprehensive test suite including sync/async tests and live integration tests
tests/test_configs/with_google_embeddings/config.yml	Test configuration for Google embeddings
tests/test_configs/with_google_embeddings/config.co	Test flow configuration
docs/user-guides/configuration-guide.md	Documentation update adding Google to supported providers table

Comments suppressed due to low confidence (1)

tests/test_embeddings_google.py:70

• This function has the same name as the async function on line 52 but different signature. Consider renaming to 'test_sync_live_query' to differentiate from the async version.

def test_live_query(app):

[Copilot]

Making an actual API call during initialization to determine embedding size could cause unnecessary latency and API costs. Consider using a placeholder or lazy initialization approach.

Suggested change

	self.embedding_size = self.embedding_size_dict[self.model]
	else:
	# Perform a first encoding to get the embedding size
	self.embedding_size = len(self.encode(["test"])[0])
	self._embedding_size = self.embedding_size_dict[self.model]
	else:
	# Defer embedding size determination until it is accessed
	self._embedding_size = None

[Copilot]

[nitpick] The embedding size dictionary is hardcoded in the constructor. Consider moving this to a class-level constant or configuration file to improve maintainability when new models are added.

Suggested change

	self.embedding_size_dict = {
	"gemini-embedding-001": 3072,
	"text-embedding-005": 768,
	"text-multilingual-embedding-002": 768,
	}
	if self.model in self.embedding_size_dict:
	self.embedding_size = self.embedding_size_dict[self.model]
	# Mapping of embedding models to their respective sizes.
	embedding_size_dict = {
	"gemini-embedding-001": 3072,
	"text-embedding-005": 768,
	"text-multilingual-embedding-002": 768,
	}
	if self.model in self.__class__.embedding_size_dict:
	self.embedding_size = self.__class__.embedding_size_dict[self.model]

[codecov-commenter]

Codecov Report

❌ Patch coverage is 40.90909% with 13 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.40%. Comparing base (bee719b) to head (4e0cd50).

Files with missing lines	Patch %	Lines
nemoguardrails/embeddings/providers/google.py	35.00%	13 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #1304      +/-   ##
===========================================
- Coverage    70.45%   70.40%   -0.05%     
===========================================
  Files          161      162       +1     
  Lines        16214    16235      +21     
===========================================
+ Hits         11423    11431       +8     
- Misses        4791     4804      +13     

Flag	Coverage Δ
python	70.40% <40.90%> (-0.05%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
nemoguardrails/embeddings/providers/__init__.py	96.42% <100.00%> (+0.13%)	⬆️
nemoguardrails/embeddings/providers/google.py	35.00% <35.00%> (ø)

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