Struct Neo4jGraphStore 

pub struct Neo4jGraphStore { /* private fields */ }

Neo4j-backed graph store for production use.

Implementations

impl Neo4jGraphStore

pub async fn new( url: &str, username: &str, password: &str, database: Option<&str>, ) -> Result<Self>

Connect to a Neo4j instance and ensure schema constraints exist.

Trait Implementations

impl GraphStore for Neo4jGraphStore

fn add_entities<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, entities: &'life1 [Entity], filter: &'life2 MemoryFilter, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Store extracted entities (provider may use this for node creation).

fn add_relations<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, relations: &'life1 [Relation], entities: &'life2 [Entity], filter: &'life3 MemoryFilter, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait,

Store extracted relations along with their entity metadata.

fn search<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, query_str: &'life1 str, filter: &'life2 MemoryFilter, limit: usize, ) -> Pin<Box<dyn Future<Output = Result<Vec<GraphSearchResult>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Text-based search for relations (legacy fallback).

fn search_by_embedding<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, embedding: &'life1 [f32], filter: &'life2 MemoryFilter, threshold: f32, limit: usize, ) -> Pin<Box<dyn Future<Output = Result<Vec<GraphSearchResult>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Semantic search: find entities by embedding cosine similarity, then return all valid relations touching matched entities (1-hop traversal).

fn invalidate_relations<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, triples: &'life1 [(String, String, String)], filter: &'life2 MemoryFilter, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Soft-delete relations by marking them as valid = false. Each tuple is (source, relationship, destination).

fn rehearse_relations<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, triples: &'life1 [(String, String, String)], filter: &'life2 MemoryFilter, now: &'life3 str, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait,

Strengthen relations by updating last_accessed_at and incrementing mentions. Called asynchronously after successful search retrieval.

fn delete_all<'life0, 'life1, 'async_trait>( &'life0 self, filter: &'life1 MemoryFilter, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Delete all relations matching the filter.

fn reset<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Remove all data from the graph store.