lfx-liam-bundle
Personal Langflow extension toolkit (liam bundle): a growing set of UI components and shared libraries for Liam’s Langflow workflows. GraphRAG is one capability shipped today—not the whole product.
Architecture
langflow.extensions entry-point
└─ lfx_liam_bundle / extension.json
└─ bundle: liam
└─ components/liam/* # Langflow UI components
└─ domain packages (e.g. graphrag/*)
| Layer | Role |
|---|---|
extension.json |
Extension id, display name, bundle registration |
components/liam/ |
Langflow components (inputs, validation, UI copy) |
| Domain packages | Reusable logic behind components (currently graphrag/) |
New tools should land as new components (and optional domain packages) under the same liam bundle—without forcing every feature into GraphRAG.
Components (current)
| Component | Purpose |
|---|---|
| GraphRAG Knowledge Base | Create or connect a GraphRAG KB (AstraDB or ArangoDB) |
| GraphRAG Index Builder | Index documents into the knowledge model |
| GraphRAG Retrieve | Local / Global / DRIFT search |
| GraphRAG Maintain | Stats and clear (destructive) |
| GraphRAG Provenance | Entity ↔ TextUnit provenance lookup |
In the Langflow UI, open the Liam bundle or search for GraphRAG / Liam.
Install
pip install lfx-liam-bundle
Requires Python 3.10+. Runtime discovery uses the langflow.extensions entry-point (see Langflow Extensions).
Deploy into a local Langflow Docker container (optional):
./scripts/deploy-to-docker.sh
GraphRAG module (summary)
Current GraphRAG support covers indexing (standard / FastGraphRAG), hierarchical communities, Local / Global / DRIFT retrieve, and vector ANN on AstraDB / ArangoDB.
Documentation index: docs/index.md
Upstream concepts: Microsoft GraphRAG
Development
mise exec -- uv sync
mise exec -- uv run pytest -m "not integration"
./devops/db-up.sh && ./devops/test-integration.sh # optional real DB
License
1 maintainer
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