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Update graph_constructing.ipynb (#28489)
Used llm_transformer_tuple instance to create graph documents and assigned to graph_documents_filtered variable. Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
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docs/docs/how_to/graph_constructing.ipynb

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" allowed_nodes=[\"Person\", \"Country\", \"Organization\"],\n",
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" allowed_relationships=allowed_relationships,\n",
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")\n",
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"llm_transformer_tuple = llm_transformer_filtered.convert_to_graph_documents(documents)\n",
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"graph_documents_filtered = llm_transformer_tuple.convert_to_graph_documents(documents)\n",
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"print(f\"Nodes:{graph_documents_filtered[0].nodes}\")\n",
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"print(f\"Relationships:{graph_documents_filtered[0].relationships}\")"
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