tweak

[emrgnt-cmplxty]

🚀	This description was created by Ellipsis for commit 868706e

Summary:

Enhanced R2R with comprehensive knowledge graph construction and management features, including new scripts, core updates, and improved Neo4j provider support.

Key points:

• Documentation Update: Enhanced docs/pages/cookbooks/knowledge-graph.mdx with detailed setup and examples for knowledge graph construction using R2R and Neo4j.
• New Scripts: Added r2r/examples/scripts/basic_kg_cookbook.py and r2r/examples/scripts/advanced_kg_cookbook.py for basic and advanced knowledge graph examples.
• Core Enhancements:
  • Updated r2r/core/__init__.py to include VectorStoreQuery.
  • Modified r2r/core/abstractions/document.py to add default UUID generation for Document.
  • Enhanced r2r/core/providers/kg_provider.py with kg_extraction_prompt configuration.
• Pipeline and Provider Updates:
  • Updated r2r/main/r2r_builder.py to support configuration-based initialization.
  • Enhanced r2r/main/r2r_factory.py to include knowledge graph pipes and providers.
  • Modified r2r/pipes/kg_pipe.py and r2r/pipes/kg_storage_pipe.py for improved knowledge graph extraction and storage.
• Prompt Configurations: Updated r2r/prompts/local/defaults.jsonl with new prompts for knowledge graph extraction.
• Neo4j Provider: Enhanced r2r/providers/kg/neo4j/base_neo4j.py to support dynamic prompt updates and improved schema handling.

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Name	Status	Preview	Comments	Updated (UTC)
r2r-docs	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Jun 14, 2024 7:34pm

[ellipsis-dev]

👍 Looks good to me! Reviewed everything up to 868706e in 1 minute and 23 seconds

More details

• Looked at 1071 lines of code in 12 files
• Skipped 5 files when reviewing.
• Skipped posting 1 drafted comments based on config settings.

1. r2r/core/providers/kg_provider.py:106

• Draft comment:
  The method update_extraction_prompt is abstract and must be implemented by subclasses to ensure the extraction prompt can be dynamically updated based on the provided entity types and relations. This is crucial for adapting the extraction process to different datasets or requirements.
• Reason this comment was not posted:
  Confidence of 0% on close inspection, compared to threshold of 50%.

Workflow ID: wflow_DF6hTvHcNdKydHQz

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