Feature/add yc kg cookbook rebased

[emrgnt-cmplxty]

🚀	This description was created by Ellipsis for commit b670bcb

Summary:

Added support for automatic knowledge graph generation using R2R, including documentation, configuration files, and code enhancements.

Key points:

• Added support for automatic knowledge graph generation using R2R.
• Updated README.md to include new documentation links and minor text changes.
• Added docs/pages/cookbooks/knowledge-graph.mdx for detailed instructions on setting up and using the knowledge graph feature.
• Modified docs/pages/cookbooks/local-rag.mdx to include installation instructions using Docker and Pip.
• Updated docs/pages/index.mdx to include new features and documentation links.
• Enhanced r2r/core/abstractions/document.py to include new entity extraction logic.
• Improved r2r/core/logging/log_processor.py for better log processing and statistics calculation.
• Added r2r/examples/configs/neo4j_kg.json for Neo4j knowledge graph configuration.
• Added r2r/examples/data/yc_companies.txt with a list of YCombinator companies for ingestion.
• Created r2r/examples/scripts/build_yc_kg.py for building the knowledge graph from YCombinator data.
• Updated r2r/main/r2r_factory.py to include knowledge graph pipeline creation logic.
• Enhanced r2r/pipes/kg_pipe.py for knowledge graph extraction and processing.
• Updated r2r/prompts/local/defaults.jsonl with new prompts for knowledge graph extraction.
• Improved r2r/prompts/local/r2r_prompt_provider.py to handle new prompts and updates.

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Name	Status	Preview	Comments	Updated (UTC)
r2r-docs	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Jun 13, 2024 5:42am

[ellipsis-dev]

👍 Looks good to me! Reviewed everything up to b670bcb in 3 minutes and 34 seconds

More details

• Looked at 2014 lines of code in 13 files
• Skipped 1 files when reviewing.
• Skipped posting 4 drafted comments based on config settings.

1. docs/pages/cookbooks/knowledge-graph.mdx:25

• Draft comment:
  The description here implies that the IngestionPipeline will handle both knowledge graph and embedding construction simultaneously. However, it's important to ensure that the actual implementation in the code supports this functionality as described. If not, the documentation might be misleading.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The PR introduces a new cookbook for building a knowledge graph with R2R, specifically using Neo4j as the graph database. The PR modifies the README.md to reflect changes in the documentation links and updates the main index page. Additionally, it adds a new markdown file for the cookbook and a JSON configuration for Neo4j. The PR seems well-structured, but I need to review the code and documentation changes in detail to ensure they follow best practices and contain no logical errors.

2. r2r/examples/configs/neo4j_kg.json:1

• Draft comment:
  Ensure that the batch_size, chunk_size, and chunk_overlap settings in the Neo4j configuration are optimized for performance and accuracy based on the expected data volume and complexity.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The PR includes a new JSON configuration file for setting up Neo4j as the knowledge graph provider. It specifies batch processing settings and text splitting configurations. It's crucial to ensure that these settings are optimal for the intended use case and that they are correctly implemented in the associated code.

3. r2r/examples/scripts/build_yc_kg.py:26

• Draft comment:
  Consider adding more robust error handling for network requests when fetching data. This could include retries or more detailed error logging to help diagnose issues during the ingestion process.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The script build_yc_kg.py is crucial for the functionality of the knowledge graph construction as it handles the ingestion and processing of data. It's important to ensure that the script handles errors gracefully, especially during network requests and data processing.

4. README.md:8

• Draft comment:
  Verify that all modified links in the README.md are accessible and lead to the correct pages. This ensures that users can find the correct resources and documentation.
• Reason this comment was not posted:
  Confidence changes required: 50%
  The PR modifies the README.md to update documentation links and descriptions. It's important that these links are correct and that the descriptions accurately reflect the capabilities and setup of the R2R framework.

Workflow ID: wflow_5NAmIeOeWk77nrVs

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