Troubleshooting of Streamlit apps: Difference between revisions

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= Troubleshooting of Streamlit Apps: LangChain RAG Integration Issues =
== Troubleshooting of Streamlit Apps: LangChain RAG Integration Issues ==


I've built a Streamlit application that implements a RAG (Retrieval Augmented Generation) system using LangChain, Pinecone for vector storage, and LLMs (GPT/Claude). The app is experiencing a critical error when attempting to generate responses.
I've built a Streamlit application that implements a RAG (Retrieval Augmented Generation) system using LangChain, Pinecone for vector storage, and LLMs (GPT/Claude). The app is experiencing a critical error when attempting to generate responses.


I've checked the logs from "Manage App" in Streamlit Cloud and found this error:
I've checked the logs from "Manage App" in Streamlit Cloud and found this error<ref>[https://discuss.streamlit.io/t/streamlit-logging-with-python-logger/51951 Streamlit Logging with Python Logger - Using Streamlit - Streamlit]</ref>:
<pre>
<pre>
KeyError: "Input to ChatPromptTemplate is missing variables {'Source2', 'page', 'Source1'}.  Expected: ['Source1', 'Source2', 'chat''history', 'context', 'input', 'page'] Received: ['input', 'chat''history', 'context']"
KeyError: "Input to ChatPromptTemplate is missing variables {'Source2', 'page', 'Source1'}.  Expected: ['Source1', 'Source2', 'chat''history', 'context', 'input', 'page'] Received: ['input', 'chat''history', 'context']"
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Be cautious when using curly braces {{kbd | key=<nowiki>{xxx}</nowiki>}} in LangChain prompts - they're interpreted as variable placeholders. If you include them in your prompt, you must provide corresponding Python variables to pass these values.
Be cautious when using curly braces {{kbd | key=<nowiki>{xxx}</nowiki>}} in LangChain prompts - they're interpreted as variable placeholders. If you include them in your prompt, you must provide corresponding Python variables to pass these values.


== References ==
<references />


[[Category: Programming]]
[[Category: Programming]]
[[Category: Python]]
[[Category: Python]]
[[Category: LangChain]]
[[Category: LangChain]]

Revision as of 18:33, 26 February 2025

Troubleshooting of Streamlit Apps: LangChain RAG Integration Issues

I've built a Streamlit application that implements a RAG (Retrieval Augmented Generation) system using LangChain, Pinecone for vector storage, and LLMs (GPT/Claude). The app is experiencing a critical error when attempting to generate responses.

I've checked the logs from "Manage App" in Streamlit Cloud and found this error[1]:

KeyError: "Input to ChatPromptTemplate is missing variables {'Source2', 'page', 'Source1'}.  Expected: ['Source1', 'Source2', 'chat''history', 'context', 'input', 'page'] Received: ['input', 'chat''history', 'context']"

The error trace shows it's failing in langchain_core/prompts/base.py during the validation of input variables, suggesting a mismatch between what my chain provides and what the prompt template expects.

The issue appears to be in my document formatting pipeline. My current implementation:

  • Retrieves documents from Pinecone
  • Uses a format_docs() function that formats documents as strings
  • Passes this to a LangChain prompt template from a Hub that expects additional variables

I've identified that my prompt template needs modification. Currently it contains:

Current Prompt (causing errors):

Markdown format answer[1][2]
# Data Sources
1. {Source1}, p.{page}
2. {Source2}, p.{page}

Proposed Modified Prompt:

Markdown format answer[1][2]
# Data Sources ==
1. <Source1>, p.<page>
2. <Source2>, p.<page>

Be cautious when using curly braces {xxx} in LangChain prompts - they're interpreted as variable placeholders. If you include them in your prompt, you must provide corresponding Python variables to pass these values.


References