# Show HN: SynapCores – AI-native database (vector, graph, SQL, AutoML, LLM)

> Source: <https://synapcores.com>
> Published: 2026-05-25 16:28:38+00:00

New — Native MCP + OpenClaw long-term memory

# Graph + Vector + LLM + MCP.

One database. One query.

Free, single-binary install. Production-ready Community Edition.

~30 seconds to your first AI-augmented query.

`curl -fsSL https://get.synapcores.com | sh`

[Watch the 5 live demos](/demos)

[All download options](/download)

## One query. Three systems other databases need.

SynapCores unifies graph traversal, vector similarity, and LLM inference into a single execution engine.

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Same engine, three workloads — graph, vectors, and ML — each in one statement. Compose all three in a single query, too.

Graph traversal, **HNSW vector similarity**, and **in-database ML** aren't three services here — they're one execution engine. Each answers in a single statement, from **microseconds** for graph to a couple of milliseconds with embedding or model inference in the loop.

On Postgres that's pgvector + Apache AGE + a model server + your application code stitching them together. On SynapCores it's one query — and you can compose all three in a single `MATCH`

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### Stack Comparison

| Stack | Systems | Round-trips |
|---|---|---|
| Pinecone + Postgres + OpenAI rerank | 3 + your service | 4–5 |
| Neo4j + external embedding + LLM | 3 + your service | 3–4 |
| SynapCores | 1 | 1 |

## 148 ready-to-run recipes. Pick one to try.

Each recipe is a self-contained markdown file with embedded SQL or Cypher. Run them locally, modify them, ship them.

[ graph 5 minHello GraphRAGadvanceddocs/bulkRecipes/recipes/graph/016_graphrag_qna.md](/recipes/graph/016_graphrag_qna)

Combine vector similarity, graph traversal, and LLM scoring in one query.

[ graph 7 minFraud Ring Detectionintermediatedocs/bulkRecipes/recipes/graph/006_fraud_ring_detection.md](/recipes/graph/006_fraud_ring_detection)

Detect circular money laundering patterns up to 4 hops in a transaction graph.

[ ml 5 minCustomer Churn MLbeginnerdocs/bulkRecipes/recipes/ml/002_customer_churn_prediction.md](/recipes/ml/002_customer_churn_prediction)

AutoML training and inference in one SQL statement.

[ graph 6 minKnowledge Graph from Earnings Callbeginnerdocs/bulkRecipes/recipes/graph/017_extract_earnings_call.md](/recipes/graph/017_extract_earnings_call)

Send a CFO call transcript to /v2/graph/extract. Query entities seconds later.

[ graph 10 minDrug Repurposingadvanceddocs/bulkRecipes/recipes/graph/025_drug_repurposing.md](/recipes/graph/025_drug_repurposing)

Walk drug-target-disease chains. Use SIMILAR_TO on mechanism embeddings.

[ graph 6 minSemantic Patient Cohortsbeginnerdocs/bulkRecipes/recipes/graph/029_clinical_patient_similarity.md](/recipes/graph/029_clinical_patient_similarity)

Find clinical lookalikes by symptom embedding in real-time.

## What's in Community Edition

Community Edition is a complete AI-native engine. Sales is an upgrade path, not a front door.

| Feature | Community | Enterprise |
|---|---|---|
| Core SQL Engine | ||
| Vector Search (HNSW) | ||
| Graph Database (Cypher) | ||
| AI / LLM Integration | ||
| MCP Server (Model Context Protocol) | ||
| Multimedia (PDF/AV) | ||
| AutoML | ||
| Multi-node Clustering | ||
| Raft Replication | ||
| Fine-grained RBAC | ||
| Audit Logging (Scale) | ||
| SSO / SAML / LDAP | ||
| Immutable Tables |

**Where we're going:** v1.6 (Q3 2026) targets binary wire protocol, shared buffer pool, and B-tree indexes for OLTP at PG scale.

## Need clustering, RBAC, or production support?

The Enterprise Edition (EE) ships everything in CE plus mission-critical scale and security. Paid Enterprise Support is also available for CE deployments.

### Scale

Multi-node clustering + Raft replication + CDC inbound from MySQL/Postgres binlog.

### Security & Compliance

Fine-grained RBAC, SSO/SAML, LDAP, encryption-at-rest, audit logging, and immutable tables.

### Performance

Binary wire protocol, shared buffer pool, row-store fast path (v1.6+).

### Enterprise Support (also available for CE)

SLA-backed support for production CE deployments: prioritized bug fixes, custom feature work, roadmap input, and direct access to the engineering team. Buy support without buying EE.

[Contact sales](/contact)

Or start free with [Community Edition](/download)