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crates/ruvector-postgres/docs/GRAPH_QUICK_REFERENCE.md
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crates/ruvector-postgres/docs/GRAPH_QUICK_REFERENCE.md
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# Graph Operations Quick Reference
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## Installation
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```sql
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CREATE EXTENSION ruvector_postgres;
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```
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## Graph Management
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```sql
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-- Create graph
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SELECT ruvector_create_graph('my_graph');
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-- List graphs
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SELECT ruvector_list_graphs();
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-- Get statistics
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SELECT ruvector_graph_stats('my_graph');
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-- Delete graph
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SELECT ruvector_delete_graph('my_graph');
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```
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## Node Operations
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```sql
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-- Add node
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SELECT ruvector_add_node(
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'graph_name',
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ARRAY['Label1', 'Label2'],
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'{"property": "value"}'::jsonb
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) AS node_id;
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-- Get node
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SELECT ruvector_get_node('graph_name', 1);
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-- Find by label
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SELECT ruvector_find_nodes_by_label('graph_name', 'Person');
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```
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## Edge Operations
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```sql
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-- Add edge
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SELECT ruvector_add_edge(
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'graph_name',
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1, -- source_id
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2, -- target_id
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'RELATIONSHIP_TYPE',
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'{"weight": 1.0}'::jsonb
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) AS edge_id;
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-- Get edge
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SELECT ruvector_get_edge('graph_name', 1);
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-- Get neighbors
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SELECT ruvector_get_neighbors('graph_name', 1);
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```
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## Path Finding
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```sql
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-- Shortest path (unweighted)
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SELECT ruvector_shortest_path(
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'graph_name',
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1, -- start_id
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10, -- end_id
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5 -- max_hops
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);
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-- Shortest path (weighted)
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SELECT ruvector_shortest_path_weighted(
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'graph_name',
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1, -- start_id
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10, -- end_id
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'weight' -- property for weights
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);
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```
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## Cypher Queries
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### CREATE
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```sql
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-- Create node
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SELECT ruvector_cypher(
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'graph_name',
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'CREATE (n:Person {name: ''Alice'', age: 30}) RETURN n',
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NULL
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);
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-- Create relationship
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SELECT ruvector_cypher(
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'graph_name',
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'CREATE (a:Person {name: ''Alice''})-[:KNOWS {since: 2020}]->(b:Person {name: ''Bob''}) RETURN a, b',
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NULL
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);
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```
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### MATCH
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```sql
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-- Match all nodes
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SELECT ruvector_cypher(
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'graph_name',
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'MATCH (n:Person) RETURN n',
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NULL
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);
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-- Match with WHERE
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SELECT ruvector_cypher(
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'graph_name',
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'MATCH (n:Person) WHERE n.age > 25 RETURN n.name, n.age',
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NULL
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);
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-- Parameterized query
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SELECT ruvector_cypher(
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'graph_name',
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'MATCH (n:Person) WHERE n.name = $name RETURN n',
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'{"name": "Alice"}'::jsonb
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);
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```
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## Common Patterns
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### Social Network
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```sql
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-- Setup
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SELECT ruvector_create_graph('social');
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-- Add users
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SELECT ruvector_add_node('social', ARRAY['Person'],
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jsonb_build_object('name', 'Alice', 'age', 30));
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SELECT ruvector_add_node('social', ARRAY['Person'],
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jsonb_build_object('name', 'Bob', 'age', 25));
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-- Create friendship
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SELECT ruvector_add_edge('social', 1, 2, 'FRIENDS',
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'{"since": "2020-01-15"}'::jsonb);
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-- Find path
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SELECT ruvector_shortest_path('social', 1, 2, 10);
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```
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### Knowledge Graph
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```sql
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-- Setup
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SELECT ruvector_create_graph('knowledge');
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-- Add concepts with Cypher
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SELECT ruvector_cypher('knowledge',
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'CREATE (ml:Concept {name: ''Machine Learning''})
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CREATE (dl:Concept {name: ''Deep Learning''})
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CREATE (ml)-[:INCLUDES]->(dl)
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RETURN ml, dl',
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NULL
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);
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-- Query relationships
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SELECT ruvector_cypher('knowledge',
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'MATCH (a:Concept)-[:INCLUDES]->(b:Concept)
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RETURN a.name, b.name',
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NULL
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);
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```
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### Recommendation
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```sql
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-- Setup
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SELECT ruvector_create_graph('recommendations');
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-- Add users and items
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SELECT ruvector_cypher('recommendations',
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'CREATE (u:User {name: ''Alice''})
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CREATE (m:Movie {title: ''Inception''})
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CREATE (u)-[:WATCHED {rating: 5}]->(m)
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RETURN u, m',
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NULL
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);
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-- Find similar users
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SELECT ruvector_cypher('recommendations',
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'MATCH (u1:User)-[:WATCHED]->(m:Movie)<-[:WATCHED]-(u2:User)
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WHERE u1.name = ''Alice''
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RETURN u2.name',
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NULL
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);
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```
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## Performance Tips
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1. **Use labels for filtering**: Labels are indexed
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2. **Limit hop count**: Specify reasonable max_hops
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3. **Batch operations**: Use Cypher for multiple creates
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4. **Property indexes**: Filter on indexed properties
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5. **Parameterized queries**: Reuse query plans
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## Return Value Formats
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### Graph Stats
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```json
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{
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"name": "my_graph",
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"node_count": 100,
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"edge_count": 250,
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"labels": ["Person", "Movie"],
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"edge_types": ["KNOWS", "WATCHED"]
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}
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```
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### Path Result
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```json
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{
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"nodes": [1, 3, 5, 10],
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"edges": [12, 45, 78],
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"length": 4,
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"cost": 2.5
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}
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```
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### Node
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```json
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{
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"id": 1,
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"labels": ["Person"],
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"properties": {
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"name": "Alice",
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"age": 30
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}
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}
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```
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### Edge
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```json
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{
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"id": 1,
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"source": 1,
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"target": 2,
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"edge_type": "KNOWS",
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"properties": {
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"since": "2020-01-15",
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"weight": 0.9
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}
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}
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```
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## Error Handling
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```sql
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-- Check if graph exists before operations
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DO $$
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BEGIN
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IF 'my_graph' = ANY(ruvector_list_graphs()) THEN
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-- Perform operations
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RAISE NOTICE 'Graph exists';
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ELSE
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PERFORM ruvector_create_graph('my_graph');
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END IF;
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END $$;
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-- Handle missing nodes
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DO $$
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DECLARE
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result jsonb;
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BEGIN
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result := ruvector_get_node('my_graph', 999);
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IF result IS NULL THEN
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RAISE NOTICE 'Node not found';
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END IF;
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END $$;
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```
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## Best Practices
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1. **Name graphs clearly**: Use descriptive names
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2. **Use labels consistently**: Establish naming conventions
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3. **Index frequently queried properties**: Plan for performance
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4. **Batch similar operations**: Use Cypher for efficiency
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5. **Clean up unused graphs**: Use delete_graph when done
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6. **Monitor statistics**: Check graph_stats regularly
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7. **Test queries**: Verify results before production
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8. **Use parameters**: Prevent injection, enable caching
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## Limitations
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- **In-memory only**: No persistence across restarts
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- **Single-node**: No distributed graph support
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- **Simplified Cypher**: Basic patterns only
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- **No transactions**: Operations are atomic but not grouped
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- **No constraints**: No unique or foreign key constraints
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## See Also
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- [Full Documentation](README.md)
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- [Implementation Details](GRAPH_IMPLEMENTATION.md)
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- [SQL Examples](../sql/graph_examples.sql)
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- [PostgreSQL Extension Docs](https://www.postgresql.org/docs/current/extend.html)
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