Submission Technical Writer Assignment #76
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CodeRabbit blocks several paths by default. You can override this behavior by explicitly including those paths in the path filters. For example, including You can disable this status message by setting the WalkthroughThis pull request introduces a new README and a Streamlit application for a RAG and Text-to-SQL orchestration agent. The README provides an overview of the project's purpose, key technologies, installation instructions, and contribution guidelines. The application implements an asynchronous workflow that handles user queries, orchestrates tool calls, interacts with a SQL database, and integrates with language model APIs to deliver conversational results. Changes
Sequence Diagram(s)sequenceDiagram
participant U as User
participant A as App (Streamlit)
participant W as Workflow
participant DB as SQL Tool
participant LLM as LLM API
U->>A: Enter API keys and question
A->>A: Initialize session state & tools
A->>W: Process question request
W->>DB: Query city statistics
DB-->>W: Return database results
W->>LLM: Dispatch tool call for response
LLM-->>W: Return generated answer
W->>A: Aggregate and forward result
A->>U: Display response and chat history
Poem
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Actionable comments posted: 0
🧹 Nitpick comments (4)
rag-sql-orchestration-agent/app.py (2)
3-3: Remove the unusedpandasimport.This import is never referenced in the code, adding unnecessary overhead and clutter.
Consider removing it:
- import pandas as pd🧰 Tools
🪛 Ruff (0.8.2)
3-3:
pandasimported but unusedRemove unused import:
pandas(F401)
1-395: Consider modularizing the workflow logic for maintainability.The current file is quite large and contains workflow classes, database initialization, and Streamlit UI code. Splitting the code into smaller modules (e.g., a separate module for the workflow, another for the DB setup) can improve organization, maintainability, and readability.
🧰 Tools
🪛 Ruff (0.8.2)
3-3:
pandasimported but unusedRemove unused import:
pandas(F401)
rag-sql-orchestration-agent/README.md (2)
5-5: Fix subject-verb agreement.“The project builds an orchestration agent that choose...” should be adjusted to “that chooses...” for grammatical correctness.
- This project builds an orchestration agent that choose suitable tools... + This project builds an orchestration agent that chooses suitable tools...🧰 Tools
🪛 LanguageTool
[uncategorized] ~5-~5: This verb does not appear to agree with the subject. Consider using a different form.
Context: ...ject builds an orchestration agent that choose suitable tools between RAG and Text-to-...(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
61-61: Use exclamation points sparingly.Too many exclamation marks can appear overly informal. Consider reducing them in line 61 for a more balanced tone.
🧰 Tools
🪛 LanguageTool
[style] ~61-~61: Using many exclamation marks might seem excessive (in this case: 4 exclamation marks for a text that’s 1511 characters long)
Context: ... Contribution Contributions are welcome! Please fork the repository and submit a...(EN_EXCESSIVE_EXCLAMATION)
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Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (4)
rag-sql-orchestration-agent/assets/.DS_Storeis excluded by!**/.DS_Storerag-sql-orchestration-agent/assets/demo.movis excluded by!**/*.movrag-sql-orchestration-agent/assets/diagram.movis excluded by!**/*.movrag-sql-orchestration-agent/assets/orchestrator.pngis excluded by!**/*.png
📒 Files selected for processing (2)
rag-sql-orchestration-agent/README.md(1 hunks)rag-sql-orchestration-agent/app.py(1 hunks)
🧰 Additional context used
🪛 LanguageTool
rag-sql-orchestration-agent/README.md
[uncategorized] ~5-~5: This verb does not appear to agree with the subject. Consider using a different form.
Context: ...ject builds an orchestration agent that choose suitable tools between RAG and Text-to-...
(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
[style] ~61-~61: Using many exclamation marks might seem excessive (in this case: 4 exclamation marks for a text that’s 1511 characters long)
Context: ... Contribution Contributions are welcome! Please fork the repository and submit a...
(EN_EXCESSIVE_EXCLAMATION)
🪛 Ruff (0.8.2)
rag-sql-orchestration-agent/app.py
3-3: pandas imported but unused
Remove unused import: pandas
(F401)
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Actionable comments posted: 0
🧹 Nitpick comments (5)
rag-sql-orchestration-agent/README.md (5)
1-4: Title and Diagram PresentationThe title clearly introduces the project, and embedding the diagram from
assets/orchestrator.pngsets an immediate visual context.Suggestion: Verify that the
assets/orchestrator.pngfile exists at the specified location in the repository.
5-5: Correct Grammar and Article Usage in DescriptionThe sentence on line 5 has a verb agreement issue and lacks an article. It currently reads:
This project builds an orchestration agent that choose suitable tools between RAG and Text-to-SQL to generate response.
I recommend updating it to:-This project builds an orchestration agent that choose suitable tools between RAG and Text-to-SQL to generate response. +This project builds an orchestration agent that chooses suitable tools between RAG and Text-to-SQL to generate a response.🧰 Tools
🪛 LanguageTool
[uncategorized] ~5-~5: This verb does not appear to agree with the subject. Consider using a different form.
Context: ...ject builds an orchestration agent that choose suitable tools between RAG and Text-to-...(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
12-15: Demo Section VerificationThe demo section is straightforward, with a heading and a link to the video demo (
assets/demo.mov).Note: Please ensure the demo video file exists and is accessible by users.
36-40: Dependency Installation BlockThe dependency installation section (lines 36–40) is well laid out.
Suggestion: Consider recommending the use of a virtual environment (e.g.,
venvorconda) to isolate dependencies.
59-61: Tone in Contribution NoticeThe Contribution section (lines 59–61) uses an enthusiastic tone with an exclamation mark:
Contributions are welcome! Please fork the repository and submit a pull request with your improvements.Suggestion: Consider a more neutral tone by reducing exclamation marks if consistency and professionalism are a priority.
🧰 Tools
🪛 LanguageTool
[style] ~61-~61: Using many exclamation marks might seem excessive (in this case: 4 exclamation marks for a text that’s 1504 characters long)
Context: ... Contribution Contributions are welcome! Please fork the repository and submit a...(EN_EXCESSIVE_EXCLAMATION)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (2)
rag-sql-orchestration-agent/assets/demo.gifis excluded by!**/*.gifrag-sql-orchestration-agent/assets/diagram.gifis excluded by!**/*.gif
📒 Files selected for processing (1)
rag-sql-orchestration-agent/README.md(1 hunks)
🧰 Additional context used
🪛 LanguageTool
rag-sql-orchestration-agent/README.md
[uncategorized] ~5-~5: This verb does not appear to agree with the subject. Consider using a different form.
Context: ...ject builds an orchestration agent that choose suitable tools between RAG and Text-to-...
(AI_EN_LECTOR_REPLACEMENT_VERB_AGREEMENT)
[style] ~61-~61: Using many exclamation marks might seem excessive (in this case: 4 exclamation marks for a text that’s 1504 characters long)
Context: ... Contribution Contributions are welcome! Please fork the repository and submit a...
(EN_EXCESSIVE_EXCLAMATION)
🔇 Additional comments (5)
rag-sql-orchestration-agent/README.md (5)
6-11: Clear Technology Stack ListingThe bullet list (lines 6–11) effectively enumerates the technologies used (OpenAI GPT-3.5-Turbo, LlamaIndex, SQLAlchemy, and Streamlit).
Good to have: If available, consider adding version numbers or links to documentation for reproducibility.
16-25: Installation and Setup InstructionsThe Installation section (lines 16–25) provides clear steps for setting up both OpenAI and LlamaCloud API keys.
Consideration: It might be beneficial to mention if users should set these in environment variables or configure them within a configuration file, depending on security best practices.
26-33: Content Download InstructionsThe instructions on downloading Wikipedia pages as PDFs (lines 26–33) are clear and easy to follow.
42-48: Running the ApplicationThe "Run the app" instructions (lines 42–48) are correctly formatted with a bash code block.
Tip: You might add a brief note on what users should expect once the app is running.
52-57: Newsletter Call-to-Action and VisualsThe newsletter section (lines 52–57) is engaging and clearly conveys the incentive.
Note: Ensure that linked images (e.g., the Daily Dose of Data Science Newsletter banner) are up-to-date.
This is my submission for Daily Dose of Data Science Technical Writer Assignment - Task 1) RAG and Text-to-SQL.
Here below are all the assignment checklist:
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