Reified RSpaces [6/11]: In-memory VectorDB implementation#333
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dylon wants to merge 4 commits intofeature/reified-rspaces-05-vectordbfrom
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Reified RSpaces [6/11]: In-memory VectorDB implementation#333dylon wants to merge 4 commits intofeature/reified-rspaces-05-vectordbfrom
dylon wants to merge 4 commits intofeature/reified-rspaces-05-vectordbfrom
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This PR adds the complete in-memory VectorDB backend: - RholangVectorBackend: Primary backend for Rholang integration - Implements VectorBackendDyn trait - in_memory.rs: Core in-memory vector index with brute-force search - tombstone.rs: Tombstone management for soft deletions - traits.rs: VectorBackend trait definitions - config.rs: VectorDB configuration options - default.rs: Default VectorDB implementation - traits.rs: VectorDBDyn trait for dynamic dispatch - similarity.rs: Similarity computation implementations - Cosine, Euclidean, Manhattan, Hamming, Jaccard, DotProduct - ranking.rs: Result ranking and scoring strategies - registry.rs: Handler registration and lookup - traits.rs: Handler trait definitions - types.rs: Query and response types - operations.rs: SIMD-optimized vector math operations - Dot product, normalization, distance calculations - error.rs: VectorDB-specific error types - utils/binary.rs: Binary vector utilities This is PR 6 of 11 for the Reified RSpaces implementation.
…ed-rspaces-06-vectordb-inmemory
…ed-rspaces-06-vectordb-inmemory
…agmenting of in-memory VectorDB rows.
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Summary
ndarraydoes not support efficient masked operations so the data must be defragmented)This is PR 6 of 11 in the Reified RSpaces implementation.
Depends on: Reified RSpaces [5/11]: VectorDB base support and registry interface