Document synthetic dataset ingestion workflow

[cpdata]

Summary

• describe how to load synthetic dataset payloads through MeshMind in docs/retrieval.md, including a batching example
• propagate the ingestion workflow and validation tips across README and operations/setup/environment guidance
• refresh planning/status documents to reference the new workflow and track automation follow-up

Testing

• not run (documentation updates only)

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https://chatgpt.com/codex/tasks/task_b_68f19ec81f4c83219319d593ba3cdfb7

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Document required entity label when loading synthetic triplets

Step 3 describes ingesting triplets.csv with MeshMind.store_triplets but the CSV produced by scripts/generate_synthetic_dataset.py only contains subject,predicate,object,namespace,metadata. meshmind.core.types.Triplet also requires an entity_label (line 40), so constructing Triplet(**row) from the CSV as implied raises a validation error. The guide needs to either add entity_label to the generated data or instruct readers which label to inject before calling store_triplets.

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[cpdata]

@codex take care of this and check that the code in scripts/generate_synthetic_dataset.py will also generate the .csv file rows so that each contain an entity_label, if it doesn't already then implement it. Make sure the guide and any other references are consistent.

[chatgpt-codex-connector]

Summary

• Updated scripts/generate_synthetic_dataset.py so generated triplet CSV rows carry entity_label values aligned with their source memories, ensuring direct construction of Triplet models during ingestion. scripts/generate_synthetic_dataset.pyL56-L121
• Refreshed retrieval, operations, README, and testing documentation to call out the new entity_label column in synthetic triplet payloads and keep ingestion guidance accurate. docs/retrieval.mdL99-L101 docs/operations.mdL73-L78 README.mdL203-L209 docs/testing.mdL69-L73
• Logged the update in the changelog and synchronized planning/tracking artifacts to reflect the revised workflow expectations. CHANGELOG.mdL3-L8 PLAN.mdL22-L26 TODO.mdL3-L6

Testing

• ⚠️ python scripts/generate_synthetic_dataset.py build/tmp_dataset --memories 5 --triplets 5 --embedding-dim 8 --namespace demo (fails: ModuleNotFoundError: No module named 'numpy')

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