forked from cardosofelipe/fast-next-template
Felipe Cardoso
999b7ac03f
Add comprehensive indexing and retrieval system for memory search: - VectorIndex for semantic similarity search using cosine similarity - TemporalIndex for time-based queries with range and recency support - EntityIndex for entity-based lookups with multi-entity intersection - OutcomeIndex for success/failure filtering on episodes - MemoryIndexer as unified interface for all index types - RetrievalEngine with hybrid search combining all indices - RelevanceScorer for multi-signal relevance scoring - RetrievalCache for LRU caching of search results 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
57 lines
1.2 KiB
Python
57 lines
1.2 KiB
Python
# app/services/memory/indexing/__init__.py
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"""
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Memory Indexing & Retrieval.
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Provides vector embeddings and multiple index types for efficient memory search:
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- Vector index for semantic similarity
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- Temporal index for time-based queries
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- Entity index for entity lookups
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- Outcome index for success/failure filtering
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"""
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from .index import (
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EntityIndex,
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EntityIndexEntry,
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IndexEntry,
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MemoryIndex,
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MemoryIndexer,
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OutcomeIndex,
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OutcomeIndexEntry,
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TemporalIndex,
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TemporalIndexEntry,
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VectorIndex,
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VectorIndexEntry,
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get_memory_indexer,
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)
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from .retrieval import (
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CacheEntry,
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RelevanceScorer,
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RetrievalCache,
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RetrievalEngine,
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RetrievalQuery,
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ScoredResult,
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get_retrieval_engine,
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)
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__all__ = [
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"CacheEntry",
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"EntityIndex",
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"EntityIndexEntry",
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"IndexEntry",
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"MemoryIndex",
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"MemoryIndexer",
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"OutcomeIndex",
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"OutcomeIndexEntry",
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"RelevanceScorer",
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"RetrievalCache",
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"RetrievalEngine",
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"RetrievalQuery",
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"ScoredResult",
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"TemporalIndex",
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"TemporalIndexEntry",
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"VectorIndex",
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"VectorIndexEntry",
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"get_memory_indexer",
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"get_retrieval_engine",
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]
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