Official documentation site for SynapseKit — async-first Python framework for building LLM applications with RAG pipelines, agents, and graph workflows.
| Section | Coverage |
|---|---|
| Getting Started | Installation, quickstart, all install extras |
| RAG Pipelines | Loaders, chunking, embeddings, retrieval, vector stores, memory |
| Agents | ReAct, function calling, built-in tools, custom tools, executor |
| Graph Workflows | StateGraph, parallel execution, conditional routing, Mermaid export |
| LLM Providers | All 35 providers with configuration examples |
| Verifiable Agents | Signed, hash-chained audit trails, bundles, and the standalone verifier |
| Knowledge Mesh | Local-first personal knowledge mesh, CLI, and MCP tools |
| Edge Runtime | Local-first inference with policy-gated cloud fallback |
| API Reference | Full class and method reference |
git clone https://github.com/SynapseKit/synapsekit-docs
cd synapsekit-docs
npm install
npm startOpens at http://localhost:3000 with hot reload.
npm run buildOutput goes to build/. Serve locally with npm run serve.
Pushes to main auto-deploy to GitHub Pages via GitHub Actions. No manual steps needed.
Found a typo, outdated example, or a missing section? PRs and issues are welcome here.
For bugs or features in the library itself, open an issue in the main repo.