Add local AI and Qdrant vector backends

This commit is contained in:
“BeeRad”
2026-05-02 09:57:57 +10:00
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| [MCP](./8_mcp.md) | Full standalone MCP install, behavior guide, and memory-file guidance |
| [Open Source](./9_open-source.md) | Scope, support boundary, contributor reality |
| [Full Local](./10_full-local.md) | Supported local path vs community patterns |
| [Local Models](../LOCAL-MODELS.md) | OpenAI-compatible local endpoint profile |
| [Qdrant](../QDRANT-DEPLOYMENT.md) | Optional vector sidecar for sqlite-vec-hostile environments |
| [Troubleshooting](./TROUBLESHOOTING.md) | Common issues and fixes |
## Start Here
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If you just want RA-H OS working:
1. Use the MCP quick install below if you mainly want agent access.
2. Use the local app quick start if you also want the browser UI.
3. Read [Full Local](./10_full-local.md) if you want a more local-first or community setup.
3. Read [Local Models](../LOCAL-MODELS.md) and [Full Local](./10_full-local.md) if you want a more local-first setup.
## MCP Quick Install