Crate engine 

Re-exports

pub use auto_index::AccuracyRequirement;

pub use auto_index::AutoIndexSelector;

pub use auto_index::DataCharacteristics;

pub use auto_index::IndexParams;

pub use auto_index::IndexRecommendation;

pub use auto_index::IndexRequirements;

pub use auto_index::LatencyRequirement;

pub use auto_index::MemoryConstraint;

pub use auto_index::RecommendedIndex;

pub use autopilot::AutoPilotConfig;

pub use autopilot::AutoPilotEngine;

pub use autopilot::ConsolidationResult;

pub use autopilot::DedupResult;

pub use batch_search::AggregationType;

pub use batch_search::BatchQueryConfig;

pub use batch_search::BatchQueryExecutor;

pub use batch_search::BatchQueryItemResponse;

pub use batch_search::BatchQueryRequest;

pub use batch_search::BatchQueryResponse;

pub use batch_search::BatchQueryStats;

pub use batch_search::BatchSearchError;

pub use batch_search::BoostMode;

pub use batch_search::CursorType;

pub use batch_search::DecayType;

pub use batch_search::DistanceUnit;

pub use batch_search::FacetBucket;

pub use batch_search::FacetExecutor;

pub use batch_search::FacetRequest;

pub use batch_search::FacetResult;

pub use batch_search::FieldValueModifier;

pub use batch_search::FilterExecutor;

pub use batch_search::FilterExpression;

pub use batch_search::GeoFilter;

pub use batch_search::GeoFilterExecutor;

pub use batch_search::GeoPoint;

pub use batch_search::PaginationConfig;

pub use batch_search::QueryExplainer;

pub use batch_search::QueryExplanation;

pub use batch_search::ScoreDetail;

pub use batch_search::ScoreFunction;

pub use batch_search::ScoreFunctionExecutor;

pub use batch_search::ScoreMode;

pub use batch_search::ScoringConfig;

pub use batch_search::SearchCursor;

pub use batch_search::SearchHit;

pub use batch_search::SortField;

pub use batch_search::SortOrder;

pub use batch_search::SortValue;

pub use decay::BackgroundMetrics;

pub use decay::BackgroundMetricsInner;

pub use decay::DecayEngine;

pub use decay::DecayEngineConfig;

pub use decay::DecayResult;

pub use distance::calculate_distance;

pub use engine::SearchEngine;

pub use filter::evaluate_filter;

pub use fulltext::FullTextConfig;

pub use fulltext::FullTextResult;

pub use fulltext::FullTextStats;

pub use fulltext::InvertedIndex;

pub use fulltext::TextAnalyzer;

pub use hnsw::HnswConfig;

pub use hnsw::HnswIndex;

pub use hnsw::HnswStats;

pub use hybrid::HybridConfig;

pub use hybrid::HybridResult;

pub use hybrid::HybridSearcher;

pub use ivf::IvfConfig;

pub use ivf::IvfIndex;

pub use ivf::SearchResult as IvfSearchResult;

pub use ivfpq::IvfPqConfig;

pub use ivfpq::IvfPqIndex;

pub use ivfpq::IvfPqSearchResult;

pub use ivfpq::IvfPqStats;

pub use online_update::DeltaLog;

pub use online_update::MaintenanceResult;

pub use online_update::OnlineIndex;

pub use online_update::OnlineUpdatable;

pub use online_update::OnlineUpdateConfig;

pub use online_update::OnlineUpdateStats;

pub use online_update::UpdateBuffer;

pub use persistence::HnswFullSnapshot;

pub use persistence::IndexPersistenceManager;

pub use persistence::IvfFullSnapshot;

pub use persistence::Persistable;

pub use persistence::SerializableHnswNode;

pub use persistence::SpFreshFullSnapshot;

pub use pq::PQConfig;

pub use pq::PQIndex;

pub use pq::PQSearchResult;

pub use pq::ProductQuantizer;

pub use routing::RouteMatch;

pub use routing::SemanticRouter;

pub use routing::SemanticRouterConfig;

pub use simd_distance::simd_cosine_similarity;

pub use simd_distance::simd_distance;

pub use simd_distance::simd_dot_product;

pub use simd_distance::simd_negative_euclidean;

pub use spfresh::SpFreshConfig;

pub use spfresh::SpFreshIndex;

pub use spfresh::SpFreshSearchResult;

pub use spfresh::SpFreshStats;

pub use sq::QuantizationType;

pub use sq::SQConfig;

pub use sq::SQIndex;

pub use sq::SQSearchResult;

pub use sq::SQStats;

Modules

advanced_search

Advanced Search Features for Dakera

auto_index

Auto-Index Selection

autopilot

Auto-Pilot Knowledge Management for Dakera AI Agent Memory Platform.

batch_search

Batch Search and Advanced Query Features for Dakera

decay

Importance Decay Engine for Dakera AI Agent Memory Platform.

distance

distributed

Distributed Mode for Dakera

engine

filter

Metadata filter evaluation

fulltext

Full-text search with BM25 scoring

hnsw

HNSW (Hierarchical Navigable Small World) Index Implementation

hybrid

Hybrid search combining vector similarity and full-text search

ivf

IVF (Inverted File) Index with K-means clustering

ivfpq

IVF-PQ (Inverted File with Product Quantization) Hybrid Index

online_update

Online Index Updates

persistence

Index persistence helpers for saving/loading indexes to storage

pq

Product Quantization (PQ) for vector compression

routing

Semantic Routing Engine for Dakera AI Agent Memory Platform.

search

simd_distance

SIMD-accelerated distance functions

spfresh

SPFresh Index with LIRE (Lazy Index Reorganization and Expansion)

sq

Scalar Quantization (SQ) for memory-efficient vector storage

Enums

IndexType

Index types that can be persisted