Introduce Valkey VectorStore for LangChain

[Jonathan Neufeld (Jonathan-Improving)]

Overview

Adds comprehensive documentation for the Valkey vector store integration in langchain-aws, including setup instructions, usage examples, and AWS service integration guidance.

Type of change

Type: New documentation page

Related issues/PRs

• GitHub issue: N/A
• Feature PR: feat(aws): Introduce Valkey Vector Store for LangChain AWS langchain-aws#889

Checklist

• I have read the contributing guidelines, including the language policy
• I have tested my changes locally using docs dev
• All code examples have been tested and work correctly
• I have used root relative paths for internal links
• I have updated navigation in src/docs.json if needed

Additional notes

This documentation covers:

• Installation with langchain-aws[valkey]
• Basic usage and connection URL formats
• AWS ElastiCache for Valkey and MemoryDB for Valkey integration
• Metadata filtering with ValkeyTag and ValkeyNum
• Custom vector schema configuration (HNSW/FLAT algorithms)

The documentation follows the same structure as existing vector store docs (DocumentDB, MemoryDB) for consistency.

Note: This PR is contingent on langchain-ai/langchain-aws#889 being merged first.

[Michael Chin (michaelnchin)]

Hi Mason Daugherty (@mdrxy) - the feature has been merged in langchain-aws, this docs PR is ready for review now.