Crate edgestore 

EdgeStore — local-first embedded KV + vector database.

This crate provides the core synchronous engine. Async wrappers live in edgestore-tokio. HTTP transport lives in edgestore-repl.

Public API Surface

Type	Item	Description
Engine	Engine	Main KV engine (open, get, put, delete, range, prefix, flush, snapshot, compact)
Config	EdgestoreConfig	Database configuration
Error	EdgestoreError	All error variants
Transaction	Transaction	Multi-record atomic batch
Metrics	MetricsSnapshot	Point-in-time metrics snapshot
Vector	VectorEngine trait, VectorRecord, Dtype, Metric	Vector storage & search
Text	TextEngine trait, TextSearchResult, SearchOptions	Full-text search
Snapshot	Snapshot, SnapshotRegistry	Point-in-time reads
Replication	ReplicationProtocol, HostId, SegmentRef	Pull-only sync
Storage	StorageBackend, DefaultStorageBackend, MemoryStorageBackend	Pluggable I/O
Compaction	Compactor, CompactionStats	Deathtime-cohort compaction
Merkle	RangeMerkleTree	Anti-entropy probe

Re-exports

pub use compactor::CompactionStats;

pub use compactor::Compactor;

pub use config::EdgestoreConfig;

pub use engine::Engine;

pub use engine::ImportResult;

pub use error::EdgestoreError;

pub use merkle::RangeMerkleTree;

pub use metrics::MetricsSnapshot;

pub use remote_store::RemoteStore;

pub use replication::HostId;

pub use replication::ReplicationProtocol;

pub use replication::SegmentRef;

pub use snapshot::Snapshot;

pub use snapshot::SnapshotRegistry;

pub use fdp_backend::FdpStorageBackend;

pub use fdp_backend::MockFdpBackend;

pub use storage_backend::DefaultStorageBackend;

pub use storage_backend::MemoryStorageBackend;

pub use storage_backend::PlacementHint;

pub use storage_backend::StorageBackend;

pub use transaction::Transaction;

pub use text::engine::text_namespace;

pub use text::engine::SearchOptions;

pub use text::engine::TextEngine;

pub use text::engine::TextSearchResult;

pub use text::facet::filter_by_facets;

pub use text::facet::FacetFilter;

pub use text::index::bm25_score;

pub use text::index::score_document;

pub use text::index::InvertedIndex;

pub use text::index::Posting;

pub use text::tokenizer::tokenize;

pub use text::tokenizer::Token;

pub use text::typo::is_one_edit_away;

pub use text::typo::levenshtein;

pub use text::types::decode_text_record;

pub use text::types::FacetValue;

pub use vector::api::vector_namespace;

pub use vector::api::VectorEngine;

pub use vector::distance::distance;

pub use vector::distance::distance_scalar;

pub use vector::distance::Metric;

pub use vector::distance::total_cmp_f32;

pub use vector::hnsw::HnswIndex;

pub use vector::search::vector_search;

pub use vector::search::VectorSearchResult;

pub use vector::types::Dtype;

pub use vector::types::VectorRecord;

Modules

compactor

Deathtime-cohort compaction engine.

config

Database configuration.

engine

Main KV engine.

error

Error types.

fdp_backend

FDP (Flexible Data Placement) storage backends.

manifest

Segment manifest (internal).

memtable

In-memory table trait and BTree implementation.

merkle

Range-level Merkle tree for anti-entropy probes. Range-level Merkle tree over 16 key-range buckets.

metrics

Engine metrics and snapshots.

recovery

WAL replay recovery (internal).

remote_store

Remote segment store abstraction. Trait for durable segment backends.

replication

Pull-only replication protocol. Pull-only replication protocol.

segment

Segment format, reader, writer, and store (internal).

snapshot

Point-in-time snapshot reads.

storage_backend

Pluggable storage backend trait.

text

Full-text search index and engine.

transaction

Multi-record transaction batch.

types

Core types (Lsn, SegmentMeta, Compression, etc.).

vector

Vector storage, distance, and search (internal modules with public re-exports). Vector search API layer.

wal

Write-ahead log format and I/O (internal).