added operator filter for supabase

[Anash3]

Description
This PR adds support for MongoDB-style $in operator filtering in the Supabase vectorstore implementation. Currently, filtering with $in operators returns no results, even when matching documents exist. This change properly translates MongoDB-style filters to PostgreSQL syntax, enabling efficient multi-document filtering.
Changes

Modified similarity_search_by_vector_with_relevance_scores to handle MongoDB-style $in operators
Added automatic conversion of $in filters to PostgreSQL IN clauses
Preserved original vector type handling and numpy array conversion
Maintained compatibility with existing postgrest filters
Added support for the same filtering in similarity_search_by_vector_returning_embeddings

Issue
Closes #27932

Implementation Notes
No changes to public API or function signatures
Backwards compatible - behavior unchanged for non-$in filters
More efficient than multiple individual queries for multi-ID searches
Preserves all existing functionality including numpy array conversion for vector types

Dependencies
None

Additional Notes
The implementation handles proper SQL escaping for filter values
Maintains consistent behavior with other vectorstore implementations that support MongoDB-style operators
Future extensions could support additional MongoDB-style operators ($gt, $lt, etc.)

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Name	Status	Preview	Comments	Updated (UTC)
langchain	⬜️ Ignored (Inspect)	Visit Preview		Jan 29, 2025 2:19pm

[Kevin-McIsaac]

I'm using the match_documents function in the [langchain documentation] (https://python.langchain.com/docs/integrations/vectorstores/supabase/)

which uses the where clause
where metadata @> filter

Using a simple filter works

vector_store_sync.similarity_search(
                    "What is the maximum loan amount",
                    filter = {"policy_id": '47c346b7-134c-4c5b-8b5f-a79d9d8d079d'},
                )

works as expected but with the $in notation

vector_store_sync.similarity_search(
                    "What is the maximum loan amount",
                    filter = {"'policy_id'": {"$in": ['47c346b7-134c-4c5b-8b5f-a79d9d8d079d']}}
                )

I get the error
APIError: {'code': 'PGRST100', 'details': 'unexpected "(" expecting "-", "->>", "->" or delimiter (.)', 'hint': None, 'message': '"failed to parse logic tree ((metadata->>\'policy_id\' IN (\'47c346b7-134c-4c5b-8b5f-a79d9d8d079d\')))" (line 1, column 31)'}