docs: rag concepts

[JeanKaddour]

This pull request includes changes to the backend/pyspur/nodes/node_types.py file and significant updates to the RAG documentation in the docs/rag/concepts.mdx file. The changes introduce a new node type and improve the clarity and usability of the RAG documentation.

Node Types Update:

• Added RetrieverNode to the Generative category in node_types.py and removed it from the Code Execution category to better reflect its functionality. [1] [2]

Documentation Improvements:

• Revised the RAG documentation to present the process in a clearer, step-by-step format, including the addition of video elements to illustrate each step.
• Updated best practices for using RAG in PySpur, emphasizing the importance of metadata, focused collections, appropriate chunk sizes, and model selection.

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Important

Revised RAG documentation for clarity and re-categorized RetrieverNode in node_types.py.

• Node Types Update:
  • Moved RetrieverNode from Code Execution to Generative in node_types.py.
• Documentation Improvements:
  • Revised concepts.mdx to present RAG process in a clearer, step-by-step format.
  • Added video elements to illustrate each RAG step.
  • Updated best practices for RAG, emphasizing metadata, focused collections, chunk sizes, and model selection.

^{This description was created by for a9b67d5. It will automatically update as commits are pushed.}

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• Looked at 172 lines of code in 2 files
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1. backend/pyspur/nodes/node_types.py:33

• Draft comment:
  Ensure 'RetrieverNode' is now correctly categorized under AI/Generative. Verify that downstream dependencies align with this change.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 0% <= threshold 50%
  The comment is asking the PR author to verify downstream dependencies, which violates the rule against asking for confirmation or verification of intentions. It does not provide a specific suggestion or point out a specific issue with the code.

2. backend/pyspur/nodes/node_types.py:70

• Draft comment:
  Removed duplicate definition of 'RetrieverNode' in Code Execution. Confirm no lingering references rely on its previous location.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 0% <= threshold 50%
  The comment is asking the PR author to confirm that there are no lingering references to a removed definition. This falls under asking the author to double-check things, which is against the rules. The comment does not provide a specific code suggestion or ask for a specific test to be written.

3. docs/rag/concepts.mdx:23

• Draft comment:
  Documentation now features step-by-step videos. Confirm video paths and that the reduced text doesn't omit critical details.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 0% <= threshold 50%
  This comment is asking the PR author to confirm details in the documentation and ensure that critical details are not omitted. This falls under the rule of not asking the author to confirm or ensure things, which is not allowed.

4. backend/pyspur/nodes/node_types.py:33

• Draft comment:
  Good change: RetrieverNode is now placed under the correct category (moved from 'Code Execution'). Ensure that any dependent references or documentation reflecting this change are updated.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 0% <= threshold 50%
  This comment is asking the PR author to ensure that dependent references or documentation are updated, which falls under the rule of not asking the author to ensure things are tested or verified. It doesn't provide a specific suggestion or point out a specific issue with the code.

5. docs/rag/concepts.mdx:32

• Draft comment:
  The revised step-by-step format with video elements improves clarity. Consider adding accessibility attributes (e.g., descriptive alt text or aria-labels) for the video elements.
• Reason this comment was not posted:
  Confidence changes required: 50% <= threshold 50%
  None

Workflow ID: wflow_I9r626uOxjrRKJV7

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