CoordiNode

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CoordiNodeGraph + Vector + Text in one engine

Graph traversal, vector similarity, and full-text retrieval in a single MVCC transaction. OpenCypher-compatible. Built in Rust.

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Quick Start
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🔗

Graph + Vector + Text — one query

Traverse a knowledge graph, filter by semantic similarity, rank by full-text relevance. One query, one transaction. No glue code.

⚡

Zero GC. Predictable P99.

Built in Rust with an LSM-tree storage engine. No JVM pauses, no garbage collector. Consistent tail latency under load.

🔐

MVCC with Snapshot Isolation

Every read gets a consistent snapshot. Optimistic concurrency control. Time-travel queries with 7-day retention.

📐

OpenCypher-compatible

Standard Cypher syntax extended with vector_distance(), text_match(), and point.distance(). EXPLAIN SUGGEST built in.

🔍

Vectors on edges, not just nodes

Vector similarity search on edge properties. First-class support for GraphRAG, recommendation engines, and fraud detection.

🏠

Single binary. Embedded mode.

One binary, three ports (gRPC, REST, metrics). Add coordinode-embed to your Rust project — no separate process.

The Magic Moment ​

cypher
MATCH (topic:Concept {name: "machine learning"})-[:RELATED_TO*1..3]->(related)
MATCH (related)<-[:ABOUT]-(doc:Document)
WHERE vector_distance(doc.embedding, $question_vector) < 0.4
  AND text_match(doc.body, "transformer attention mechanism")
RETURN doc.title,
       vector_distance(doc.embedding, $question_vector) AS relevance,
       text_score(doc.body, "transformer attention mechanism")  AS text_rank
ORDER BY relevance LIMIT 10

Today this query requires Neo4j + Pinecone + Elasticsearch + custom glue code. With CoordiNode — one query.

Quick Install ​

bash
docker run -p 7080:7080 -p 7081:7081 -p 7084:7084 \
  ghcr.io/structured-world/coordinode:latest
toml
[dependencies]
coordinode-embed = "0.3"

See the Quick Start guide for a complete walkthrough with seed data and example queries.