feat: add distributed architecture with sharding and coordination
- Wire up distributed components (Coordinator, ShardManager, CacheSync) - Implement automatic sharding for S3 storage (256 shards) - Add read/write separation for operational modes - Zero-config automatic detection for distributed mode - Add mutex implementation for thread safety - Fix metadata filtering in find operations - Fix neural API vector similarity calculations - Improve batch operations performance - Add Bluesky distributed setup example BREAKING CHANGE: None - backward compatible
This commit is contained in:
parent
8aafc769a3
commit
ed64c266ec
30 changed files with 2084 additions and 439 deletions
|
|
@ -157,14 +157,15 @@ export class NaturalLanguageProcessor {
|
|||
|
||||
/**
|
||||
* Find similar queries from history (without using Brainy)
|
||||
* NOTE: Currently unused - reserved for future query caching optimization
|
||||
*/
|
||||
private findSimilarQueries(embedding: Vector): Array<{
|
||||
query: string
|
||||
result: TripleQuery
|
||||
similarity: number
|
||||
}> {
|
||||
// Simple similarity check against recent history
|
||||
// This is just a placeholder - real implementation would use cosine similarity
|
||||
// Not implemented - not required for core functionality
|
||||
// Would implement cosine similarity against queryHistory if needed
|
||||
return []
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue