Fix/es query filter (🚨 URGENT)

[alohays]

Description

🚨 URGENT: This PR fixes critical Elasticsearch query errors that are currently affecting production vector searches.

The current implementation is causing search failures due to incorrect query structure and inefficient index settings. This PR provides essential fixes by:

1. Fixing KNN query structure that was causing search failures
2. Adding proper index settings (shards, replicas, refresh interval)
3. Restructuring mapping to use a more efficient schema
4. Optimizing KNN search with pre-filtering
5. Unifying metadata handling under a single field
6. Improving query performance with term-level filters

These changes will resolve the current search failures and make the vector store more reliable and scalable.

Fixes # (issue)

Type of change

• Bug fix (non-breaking change which fixes an issue)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)

How Has This Been Tested?

• Unit Test
• Manual testing with sample vectors and queries
• Verified fixes for previously failing queries

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• My changes generate no new warnings
• I have added tests that prove my fix is effective
• New and existing unit tests pass locally with my changes

Breaking Changes

1. Changed field name from embedding to vector
2. Moved user_id under metadata object
3. Changed payload storage structure to use metadata field instead of payload

Migration will be required for existing indices.

Note to Reviewers

This PR requires immediate attention as it addresses critical search functionality issues in production. The changes have been thoroughly tested and are ready for review.

[Dev-Khant]

Hey @alohays Thanks for the PR. New version - 0.1.46 is now available with these changes.