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https://github.com/lukaszraczylo/claude-mnemonic.git
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74ae8ed4c1
- [x] Add AST-aware code chunking for Go, Python, and TypeScript using tree-sitter - [x] Implement LEANN-inspired hybrid vector storage with hub detection and selective embedding storage (60-80% savings) - [x] Add observation relationship graph with CSR format and edge detection (file overlap, semantic similarity, temporal, concept) - [x] Implement graph-aware search with two-level traversal and relationship-based ranking - [x] Add auto-tuning system for dynamic hub threshold adjustment based on query performance - [x] Add comprehensive metrics tracking for vector storage, queries, latency, and graph traversals - [x] Update configuration system with graph and hybrid storage settings - [x] Add graph stats and vector metrics endpoints to worker service - [x] Enhance UI sidebar with advanced metrics display and graph visualization - [x] Optimize struct field alignment throughout codebase for memory efficiency - [x] Update documentation with LEANN Phase 2 features and performance benefits - [x] Add tree-sitter dependency for AST parsing
43 lines
1.5 KiB
Go
43 lines
1.5 KiB
Go
// Package vector provides common interfaces for vector storage implementations
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package vector
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import (
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"context"
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"github.com/lukaszraczylo/claude-mnemonic/internal/vector/sqlitevec"
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)
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// Client defines the interface for vector storage operations.
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// Both sqlitevec.Client and hybrid.Client implement this interface.
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type Client interface {
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// AddDocuments adds documents with their embeddings to the vector store
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AddDocuments(ctx context.Context, docs []sqlitevec.Document) error
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// DeleteDocuments removes documents by their IDs
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DeleteDocuments(ctx context.Context, ids []string) error
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// Query performs a vector similarity search
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Query(ctx context.Context, query string, limit int, where map[string]any) ([]sqlitevec.QueryResult, error)
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// IsConnected checks if the vector store is available
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IsConnected() bool
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// Close releases resources
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Close() error
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// Count returns the total number of vectors in the store
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Count(ctx context.Context) (int64, error)
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// ModelVersion returns the current embedding model version
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ModelVersion() string
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// NeedsRebuild checks if vectors need to be rebuilt due to model version change
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NeedsRebuild(ctx context.Context) (bool, string)
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// GetStaleVectors returns doc_ids of vectors with mismatched or null model versions
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GetStaleVectors(ctx context.Context) ([]sqlitevec.StaleVectorInfo, error)
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// DeleteVectorsByDocIDs removes vectors by their doc_ids
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DeleteVectorsByDocIDs(ctx context.Context, docIDs []string) error
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}
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