SynapCores Documentation¶
SynapCores is an AI-native database. SQL, vector search, ML, and an embedded LLM inference engine in one self-hosted binary.
Install in one line¶
Detects your platform, downloads the latest signed release, verifies its checksum, and runs the system installer. See Quickstart for the full walkthrough.
What's in the box¶
| Built-in | Out-of-the-box | Optional |
|---|---|---|
| SQL engine | 120 seeded recipes on first boot | GPU acceleration (source build) |
| Vector storage + HNSW search | Random admin password, printed once | Ollama integration |
| Embedded React Web UI on the same port | Embeddings via Hugging Face auto-download | OpenAI / Anthropic providers |
| llama-cpp inference engine | Hardened systemd unit | TLS termination |
| Recipe + dashboard system | REST + WebSocket API | Docker container |
Where to start¶
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:material-rocket-launch:{ .lg .middle } Quickstart
Install, configure, and verify a working CE deployment.
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:material-server:{ .lg .middle } Hardware requirements
Minimum and recommended sizing per platform.
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:material-robot:{ .lg .middle } First-run AI setup
Wire up a local GGUF, Ollama, or external provider for AI Chat and NL2SQL.
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:material-monitor-dashboard:{ .lg .middle } Web UI
The bundled React UI on
:8080— dashboard, query editor, AI chat, vector search, recipes, graph explorer. -
:material-account-group:{ .lg .middle } Community vs Enterprise
What's in CE, what's gated to EE, and how to upgrade.
Releases¶
Source is private; binary releases are public: github.com/SynapCores/synapcores-releases.
Need help?¶
See the Support page — issue tracker, security disclosure, and how to contact the team.