[Snyk] Security upgrade langchain from 0.0.274 to 0.2.10

[abdulrahman305]

Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• examples/langchain-python-rag-privategpt/requirements.txt

⚠️ Warning

transformers 4.30.2 requires numpy, which is not installed.
transformers 4.30.2 has requirement tokenizers!=0.11.3,<0.14,>=0.11.1, but you have tokenizers 0.20.0.
torchvision 0.14.1 requires numpy, which is not installed.
sentence-transformers 2.2.2 requires numpy, which is not installed.
sentence-transformers 2.2.2 requires scipy, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
scikit-learn 1.0.2 requires numpy, which is not installed.
onnxruntime 1.14.1 requires numpy, which is not installed.
chromadb 0.4.7 requires numpy, which is not installed.
chromadb 0.4.7 requires chroma-hnswlib, which is not installed.

---

Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.
• Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

---

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Deserialization of Untrusted Data

[korbit-ai]

👋 I'm here to help you review your pull request. When you're ready for me to perform a review, you can comment anywhere on this pull request with this command: /korbit-review.

As a reminder, here are some helpful tips on how we can collaborate together:

• To have me re-scan your pull request, simply re-invoke the /korbit-review command in a new comment.
• You can interact with me by tagging @korbit-ai in any conversation in your pull requests.
• On any comment I make on your code, please leave a 👍 if it is helpful and a 👎 if it is unhelpful. This will help me learn and improve as we work together
• Lastly, to learn more, check out our Docs.

[codeautopilot]

Your organization has reached the subscribed usage limit. You can upgrade your account by purchasing a subscription at Stripe payment link

Disclaimer: This comment was entirely generated using AI. Be aware that the information provided may be incorrect.

Current plan usage: 100.67%

Have feedback or need help?
Discord
Documentation
support@codeautopilot.com

[coderabbitai]

Important

Review skipped

Ignore keyword(s) in the title.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

---

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 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.