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docs(demo): clarify pinning in README and 02_langchain comment
- demo/README.md: reword note to say the embedded Colab install is commit-pinned; Colab links target main (not pinned) - 02_langchain: update install cell comment to mention that both coordinode-embedded and langchain-coordinode are pinned (git commit); remaining pure-Python packages remain unpinned
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demo/README.md

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@@ -13,7 +13,7 @@ Interactive notebooks for LlamaIndex, LangChain, and LangGraph integrations.
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> **Note:** First run installs `coordinode-embedded` from source (Rust build, ~5 min).
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> Subsequent runs use Colab's pip cache.
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> Notebooks are pinned to a specific commit that bundles coordinode-rs v0.3.15 (embedded engine used in Colab).
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> The embedded Colab install is pinned to a specific commit that bundles coordinode-rs v0.3.15; the Colab notebook links above target `main`.
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> The Docker Compose stack below uses the CoordiNode **server** image v0.3.15.
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## Run locally (Docker Compose)

demo/notebooks/02_langchain_graph_chain.ipynb

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" timeout=600,\n",
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" )\n",
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"\n",
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"# coordinode-embedded is pinned to a specific git commit because it requires a Rust\n",
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"# build (maturin/pyo3) and the embedded engine must match the Python SDK version.\n",
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"# coordinode-embedded and langchain-coordinode are pinned to a specific git commit:\n",
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"# - coordinode-embedded requires a Rust build (maturin/pyo3); the embedded engine\n",
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"# must match the Python SDK version.\n",
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"# - langchain-coordinode is pinned to the same commit so CoordinodeGraph(client=...)\n",
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"# is available; this parameter is not yet released to PyPI.\n",
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"# The remaining packages (coordinode, LangChain, etc.) are installed without pins:\n",
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"# they are pure Python, release frequently, and pip resolves a compatible version.\n",
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"subprocess.run(\n",

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