A few doc tweaks that slowed me down and could have been clearer

[liorkesos]

Summary by CodeRabbit

• Documentation
  • Enhanced the README with a link to an example notebook for ontology creation.
  • Included import json in the code snippet for better clarity.
  • Made minor formatting adjustments for improved readability.
• New Features
  • Added a new section in the Jupyter notebook detailing the creation of predefined ontologies for restaurants and attractions.
  • Introduced a structured approach for building a multi-agent system utilizing knowledge graphs for trip planning.

[coderabbitai]

Warning

Rate limit exceeded

@liorkesos has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 12 minutes and 22 seconds before requesting another review.

⌛ How to resolve this issue?

After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

We recommend that you space out your commits to avoid hitting the rate limit.

🚦 How do rate limits work?

CodeRabbit enforces hourly rate limits for each developer per organization.

Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

Please see our FAQ for further information.

📥 Commits

Reviewing files that changed from the base of the PR and between 523f40a and 3288c1c.

📒 Files selected for processing (1)

• README.md (1 hunks)

Walkthrough

The pull request introduces updates to the README.md file and a Jupyter notebook titled demo_orchestrator_trip.ipynb. The README.md now includes a link to an example notebook and an import statement for the json module, enhancing the documentation for ontology creation. In the notebook, a new section has been added that details the creation of predefined ontologies, their entities, attributes, and relationships, along with the development of knowledge graphs and agents for trip planning.

Changes

File	Change Summary
README.md	- Added GitHub link for ontology creation example notebook - Inserted import json statement in code snippet - Minor formatting adjustments
examples/trip/demo_orchestrator_trip.ipynb	- Added section "Ontology - Predefined Ontology" - Created classes: Ontology, Entity, Relation, Attribute, AttributeType, KnowledgeGraph, KnowledgeGraphModelConfig - Added methods: add_entity, add_relation in Ontology class

Poem

🐰 A Rabbit's README Delight
With json in hand and link so bright,
Our docs now shine with clearer might,
A notebook example, a guiding star,
Helps coders near and coders far!
Documentation's magic takes flight! 🌟

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>, please review it.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai generate docstrings to generate docstrings for this PR. (Beta)
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Other keywords and placeholders

• Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
• Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
• Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[coderabbitai]

Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 8617ba5 and 9fd5354.

📒 Files selected for processing (1)

• README.md (1 hunks)

🔇 Additional comments (1)

README.md (1)

51-51: LGTM! Good catch adding the missing import

Adding the import json statement improves code completeness and prevents confusion, as it's required for the ontology serialization/deserialization operations shown in the example.

[coderabbitai]

Actionable comments posted: 0

🧹 Nitpick comments (3)

examples/trip/demo_orchestrator_trip.ipynb (3)

Line range hint 70-146: Consider unifying reusable entities and relations across ontologies.
The restaurants_ontology and attractions_ontology define Country and City in very similar ways. Consolidating these into a shared ontology or a base class may reduce duplication and ease future maintenance.

---

Line range hint 186-210: Add disclaimers or usage notes for end-users.
The specialized agents (restaurants, attractions) provide suggestions that might need disclaimers on opening hours, reservation constraints, or availability. Explore adding user-facing disclaimers or usage guidance.

---

Line range hint 212-224: Consider concurrency or parallel agent execution.
Although the Orchestrator currently manages queries in a straightforward manner, you might eventually benefit from concurrent requests to multiple agents, especially if queries are long-running or data-intensive.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e3fb1fb and 523f40a.

📒 Files selected for processing (1)

• examples/trip/demo_orchestrator_trip.ipynb (1 hunks)

🔇 Additional comments (3)

examples/trip/demo_orchestrator_trip.ipynb (3)

58-58: Great addition of the anchor link.
This anchor makes it easier for readers to jump to the “Ontology - Predefined Ontology” section, improving navigability in the notebook.

---

Line range hint 149-183: Add robust error handling for data loading and node creation.
When parsing JSON data and populating the Knowledge Graph, consider handling malformed or missing fields. This helps avoid potential runtime errors and ensures data integrity in production environments.

Would you like me to open a new issue to track the implementation of validation checks and error handling for JSON data?

---

Line range hint 226-241: Looks good!
The final demonstration queries effectively showcase the orchestrator’s query handling and the agents’ knowledge retrieval.

[swilly22]

@liorkesos Thank you for contributing!