Rag sql supreeth #99
Rag sql supreeth #99
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WalkthroughThis pull request introduces a hybrid query framework that combines retrieval-augmented generation with a Text-to-SQL interface. A new Jupyter notebook demonstrates how to integrate these two data sources via a custom agent, while new workflow classes and event types are encapsulated in a dedicated Python file. Additionally, a Streamlit-based chat interface is provided to interact with the agent, and comprehensive project documentation has been added. Changes
Sequence Diagram(s)sequenceDiagram
participant U as User
participant S as Streamlit UI
participant WF as RouterOutputAgentWorkflow
participant LLM as LLM Assistant
participant T as Tool Engine
U->>S: Input query
S->>WF: Forward query for processing
WF->>LLM: Prepare chat & analyze input
LLM-->>WF: Return response or tool call instructions
alt Tool call required
WF->>T: Dispatch tool call
T-->>WF: Return tool result
WF->>LLM: Update chat history & generate final response
LLM-->>WF: Final response
else No tool call
LLM-->>WF: Direct response
end
WF-->>S: Return output message
S->>U: Display result
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Actionable comments posted: 1
🧹 Nitpick comments (12)
llamacloud-demo/readme-file.md (4)
3-3: Consider simplifying the phrase for clarity.Please reword "whether their question requires structured or unstructured data access" to avoid the awkward "requires structured" phrase.
For example:
-This unified query system removes the need for users to know whether their question requires structured or unstructured data access. +This unified query system removes the need for users to distinguish whether their question needs structured or unstructured data.🧰 Tools
🪛 LanguageTool
[style] ~3-~3: The double modal “requires structured” is nonstandard (only accepted in certain dialects). Consider “to be structured”.
Context: ...to know whether their question requires structured or unstructured data access. ## Overvi...(NEEDS_FIXED)
11-11: Use an adverb to reduce wordiness.Replacing "in a consistent manner" with "consistently" flows better.
-3. Return formatted results from either path in a consistent manner +3. Return formatted results from either path consistently🧰 Tools
🪛 LanguageTool
[style] ~11-~11: Consider replacing this phrase with the adverb “consistently” to avoid wordiness.
Context: ...turn formatted results from either path in a consistent manner The system uses LlamaIndex for orchest...(IN_A_X_MANNER)
40-40: Specify a language for fenced code blocks.Markdown guidelines recommend providing a language identifier right after the backticks.
-``` +```bash OPENAI_API_KEY=your_openai_api_key🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
40-40: Fenced code blocks should have a language specified
null(MD040, fenced-code-language)
65-65: Optional tense fix.“Last month” suggests a past event, but the imperative “List the top 5 products” is still understandable. If you want perfect grammatical alignment, consider a past-tense statement.
-List the top 5 products by revenue last month +List the top 5 products by revenue in the previous month🧰 Tools
🪛 LanguageTool
[grammar] ~65-~65: ‘last month’ indicates a finished event of the past. Please check the predicate’s tense.
Context: ..." - "List the top 5 products by revenue last month" RAG Path Examples: - "What's our ...(MISSING_PAST_TENSE)
llamacloud-demo/streamlit_file.py (2)
4-6: Remove unused imports to keep the code clean.
typing.List,typing.Dict, andllama_index.core.llms.ChatMessageare unused. Removing them helps avoid confusion and reduces overhead.-import asyncio -from typing import List, Dict -from llama_index.core.llms import ChatMessage +import asyncio🧰 Tools
🪛 Ruff (0.8.2)
4-4:
typing.Listimported but unusedRemove unused import
(F401)
4-4:
typing.Dictimported but unusedRemove unused import
(F401)
6-6:
llama_index.core.llms.ChatMessageimported but unusedRemove unused import:
llama_index.core.llms.ChatMessage(F401)
176-177: Combine nestedwithstatements for clarity.Merging them into a single statement improves readability.
-with st.chat_message("assistant"): - with st.spinner("Thinking..."): +with st.chat_message("assistant"), st.spinner("Thinking..."): ...🧰 Tools
🪛 Ruff (0.8.2)
176-177: Use a single
withstatement with multiple contexts instead of nestedwithstatementsCombine
withstatements(SIM117)
llamacloud-demo/router_output_agent_workflow.py (1)
14-15: Remove unused imports to maintain a concise codebase.
ResponseandFunctionToolare not used in this file. Removing them clarifies dependencies and avoids confusion.-from llama_index.core.base.response.schema import Response -from llama_index.core.tools import FunctionTool🧰 Tools
🪛 Ruff (0.8.2)
14-14:
llama_index.core.base.response.schema.Responseimported but unusedRemove unused import:
llama_index.core.base.response.schema.Response(F401)
15-15:
llama_index.core.tools.FunctionToolimported but unusedRemove unused import:
llama_index.core.tools.FunctionTool(F401)
llamacloud-demo/examples/advanced_rag/llamacloud_sql_router.ipynb (5)
15-15: Highlight potential security risks for SQL functionality.
The markdown note correctly warns that executing arbitrary SQL queries can be a security risk. Ensure that in production you configure restricted roles or read-only access, and monitor or sandbox these queries to prevent malicious behavior.
34-34: Avoid storing secrets directly in source code.
You are setting theOPENAI_API_KEYenvironment variable to an empty string here. Once you add the actual key, consider using a secure secrets manager or environment variables in a.envfile that is excluded from version control.
57-58: Ensure the Arize Phoenix integration is optional at install time.
Installing thellama-index-callbacks-arize-phoenixpackage is optional, but the code currently runs!pip install -U llama-index-callbacks-arize-phoenix. Consider documenting how to omit or include this optional dependency.
464-471: Consider concurrency coordination for multi-tool calls.
Whileallow_parallel_tool_callsis set toTrue, keep in mind that your SQLite in-memory database might not handle certain concurrent writes gracefully. If future expansions involve parallel writes, you might experience transaction conflicts or partial updates.
495-500: Validate workflow logic on large queries or multi-step operations.
You have settimeout=120for the workflow. For more complex or long-running tasks, ensure that this is sufficient. If you anticipate queries needing more than two minutes, consider increased timeouts or multi-step approaches.
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📒 Files selected for processing (4)
llamacloud-demo/examples/advanced_rag/llamacloud_sql_router.ipynb(1 hunks)llamacloud-demo/readme-file.md(1 hunks)llamacloud-demo/router_output_agent_workflow.py(1 hunks)llamacloud-demo/streamlit_file.py(1 hunks)
🧰 Additional context used
🪛 LanguageTool
llamacloud-demo/readme-file.md
[style] ~3-~3: The double modal “requires structured” is nonstandard (only accepted in certain dialects). Consider “to be structured”.
Context: ...to know whether their question requires structured or unstructured data access. ## Overvi...
(NEEDS_FIXED)
[style] ~11-~11: Consider replacing this phrase with the adverb “consistently” to avoid wordiness.
Context: ...turn formatted results from either path in a consistent manner The system uses LlamaIndex for orchest...
(IN_A_X_MANNER)
[grammar] ~65-~65: ‘last month’ indicates a finished event of the past. Please check the predicate’s tense.
Context: ..." - "List the top 5 products by revenue last month" RAG Path Examples: - "What's our ...
(MISSING_PAST_TENSE)
🪛 markdownlint-cli2 (0.17.2)
llamacloud-demo/readme-file.md
40-40: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
🪛 Ruff (0.8.2)
llamacloud-demo/streamlit_file.py
4-4: typing.List imported but unused
Remove unused import
(F401)
4-4: typing.Dict imported but unused
Remove unused import
(F401)
6-6: llama_index.core.llms.ChatMessage imported but unused
Remove unused import: llama_index.core.llms.ChatMessage
(F401)
176-177: Use a single with statement with multiple contexts instead of nested with statements
Combine with statements
(SIM117)
llamacloud-demo/router_output_agent_workflow.py
14-14: llama_index.core.base.response.schema.Response imported but unused
Remove unused import: llama_index.core.base.response.schema.Response
(F401)
15-15: llama_index.core.tools.FunctionTool imported but unused
Remove unused import: llama_index.core.tools.FunctionTool
(F401)
🔇 Additional comments (2)
llamacloud-demo/examples/advanced_rag/llamacloud_sql_router.ipynb (2)
374-384: Align tools storage initialization with best practices.
Storing yourtoolsin a dictionary with the tool name as the key is a sensible approach. However, avoid re-initializing or changing this dictionary if your code grows more complex. If you anticipate dynamic updates, wrap the dictionary usage with thread-safe or concurrency-friendly logic.
111-145:❓ Verification inconclusive
Check for table naming or length constraints.
The table schema uses 16 characters as a limit for city and state (String(16)). Some real-world city or state names exceed 16 characters (e.g., “North Little Rock”), which may lead to data truncation. Consider increasing these limits or usingTextfields.Do you want to run a quick script to confirm that no city or state names in your dataset exceed 16 characters?
🏁 Script executed:
#!/bin/bash # Searching rows in city_stats that may be truncated # If this were an external file or real DB, we'd compare lengths. # Currently, your code is an example, but let's verify the schema usage in other references. rg -A 3 "Column(\"city_name\", String(16)" rg -A 3 "Column(\"state\", String(16)"Length of output: 253
Potential Table Field Length Constraints – Manual Verification Recommended
The definition of the "city_name" and "state" columns using
String(16)inllamacloud-demo/examples/advanced_rag/llamacloud_sql_router.ipynb(lines 111-145) imposes a 16-character limit. Given that real-world city or state names (e.g., "North Little Rock") can exceed this length, there’s a risk of data truncation. Please consider increasing these limits or switching to a different type (e.g.,Text) if longer names are expected.Note: Our initial attempt to verify this via an automated script encountered regex errors due to unescaped parentheses. Manual verification of actual data constraints throughout the codebase is advised.
| " # call function and put result into a chat message\n", | ||
| " tool = self.tools_dict[tool_call.tool_name]\n", | ||
| " output = await tool.acall(**tool_call.tool_kwargs)\n", | ||
| " msg = ChatMessage(\n", | ||
| " name=tool_call.tool_name,\n", | ||
| " content=str(output),\n", | ||
| " role=\"tool\",\n", | ||
| " additional_kwargs={\n", |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for tool invocation.
Currently, if a tool call raises an exception (e.g., an unresponsive SQL engine), it won’t be explicitly caught or surfaced in user-friendly messages. You may want to wrap tool calls in a try-except block to gracefully handle failures.
try:
output = await tool.acall(**tool_call.tool_kwargs)
+except Exception as e:
+ output = f"Tool call failed with error: {str(e)}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| " # call function and put result into a chat message\n", | |
| " tool = self.tools_dict[tool_call.tool_name]\n", | |
| " output = await tool.acall(**tool_call.tool_kwargs)\n", | |
| " msg = ChatMessage(\n", | |
| " name=tool_call.tool_name,\n", | |
| " content=str(output),\n", | |
| " role=\"tool\",\n", | |
| " additional_kwargs={\n", | |
| " # call function and put result into a chat message\n", | |
| " tool = self.tools_dict[tool_call.tool_name]\n", | |
| " try:\n", | |
| " output = await tool.acall(**tool_call.tool_kwargs)\n", | |
| " except Exception as e:\n", | |
| " output = f\"Tool call failed with error: {str(e)}\"\n", | |
| " msg = ChatMessage(\n", | |
| " name=tool_call.tool_name,\n", | |
| " content=str(output),\n", | |
| " role=\"tool\",\n", | |
| " additional_kwargs={\n", |
Summary by CodeRabbit
New Features
Documentation