[Bug] MultimodalQnA With The Milvus Vector Dataset Gets A "no Video Segments Retrieved Error"

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Bug: MultimodalQnA with the Milvus vector dataset gets a "no video segments retrieved error"

MultimodalQnA is a powerful tool for answering complex questions by combining multiple sources of information, including images, videos, PDF files, and audio files. However, when using the Milvus vector dataset as the backend, users may encounter a "no video segments retrieved" error, even when submitting queries that do not involve video segments. This article aims to provide a detailed analysis of this issue and offer potential solutions.

MultimodalQnA is a part of the GenAIExamples project, which provides a set of examples for building multimodal AI applications. The project includes a Docker Compose file for launching the example with the Milvus vector dataset backend. The Milvus vector dataset is a large-scale dataset that contains a variety of images, videos, PDF files, and audio files.

When using the MultimodalQnA example with the Milvus vector dataset backend, users may encounter a "no video segments retrieved" error, even when submitting queries that do not involve video segments. This error is reported in both the UI and curl commands.

To reproduce this issue, follow these steps:

  1. Launch the MultimodalQnA example with the Milvus vector dataset backend using the Docker Compose file.
  2. Ingest a variety of images, videos, PDF files, and audio files into the system.
  3. Submit a query that does not involve video segments, such as "What is the revenue of Nike in 2023?"
  4. Observe the error message "There is no video segments retrieved given the query!" in both the UI and curl commands.

Unfortunately, the raw log is not provided in the original report. However, we can analyze the error message and the curl command output to gain insights into the issue.

The error message "There is no video segments retrieved given the query!" suggests that the system is unable to retrieve video segments from the Milvus vector dataset, even when the query does not involve video segments. This is a critical issue, as it prevents the system from providing accurate answers to user queries.

Based on the analysis, we can propose the following potential solutions:

  1. Check the Milvus vector dataset configuration: Ensure that the Milvus vector dataset is properly configured and that the video segments are correctly indexed.
  2. Verify the query syntax: Check that the query syntax is correct and that the query is properly formatted.
  3. Check the system logs: Analyze the system logs to identify any errors or warnings that may be related to the issue.
  4. Update the MultimodalQnA example: Update the MultimodalQnA example to handle the "no video segments retrieved" error and provide a more informative error message.

The "no video segments retrieved" error in MultimodalQnA with the Milvus vector dataset backend is a critical issue that prevents the system from providing accurate answers to user queries. By analyzing the error message and the curl command output, we can propose potential solutions to resolve this. We recommend checking the Milvus vector dataset configuration, verifying the query syntax, checking the system logs, and updating the MultimodalQnA example to handle the error.

Based on the analysis, we recommend the following:

  1. Update the Milvus vector dataset configuration: Ensure that the Milvus vector dataset is properly configured and that the video segments are correctly indexed.
  2. Verify the query syntax: Check that the query syntax is correct and that the query is properly formatted.
  3. Check the system logs: Analyze the system logs to identify any errors or warnings that may be related to the issue.
  4. Update the MultimodalQnA example: Update the MultimodalQnA example to handle the "no video segments retrieved" error and provide a more informative error message.

To further investigate this issue, we recommend the following:

  1. Collect more data: Collect more data on the issue, including system logs, error messages, and query syntax.
  2. Analyze the data: Analyze the collected data to identify any patterns or correlations that may be related to the issue.
  3. Develop a fix: Develop a fix for the issue and test it thoroughly to ensure that it resolves the problem.

By following these recommendations and future work, we can resolve the "no video segments retrieved" error in MultimodalQnA with the Milvus vector dataset backend and provide a more accurate and informative experience for users.
Q&A: MultimodalQnA with the Milvus vector dataset gets a "no video segments retrieved error"

In our previous article, we discussed the issue of MultimodalQnA with the Milvus vector dataset getting a "no video segments retrieved" error. In this article, we will provide a Q&A section to address some of the common questions and concerns related to this issue.

A: The cause of the "no video segments retrieved" error is not explicitly stated in the original report. However, based on the analysis, it is likely that the issue is related to the Milvus vector dataset configuration or the query syntax.

A: To resolve the "no video segments retrieved" error, you can try the following:

  1. Check the Milvus vector dataset configuration: Ensure that the Milvus vector dataset is properly configured and that the video segments are correctly indexed.
  2. Verify the query syntax: Check that the query syntax is correct and that the query is properly formatted.
  3. Check the system logs: Analyze the system logs to identify any errors or warnings that may be related to the issue.
  4. Update the MultimodalQnA example: Update the MultimodalQnA example to handle the "no video segments retrieved" error and provide a more informative error message.

A: The "no video segments retrieved" error can have several consequences, including:

  1. Inaccurate answers: The system may provide inaccurate answers to user queries due to the lack of video segments.
  2. User frustration: Users may become frustrated with the system's inability to provide accurate answers.
  3. System downtime: The system may experience downtime due to the error, which can impact user productivity.

A: To prevent the "no video segments retrieved" error, you can try the following:

  1. Regularly update the Milvus vector dataset: Regularly update the Milvus vector dataset to ensure that it is properly configured and that the video segments are correctly indexed.
  2. Verify the query syntax: Verify that the query syntax is correct and that the query is properly formatted.
  3. Monitor system logs: Monitor system logs to identify any errors or warnings that may be related to the issue.
  4. Test the system thoroughly: Test the system thoroughly to ensure that it is functioning correctly.

A: The future plans for resolving the "no video segments retrieved" error include:

  1. Developing a fix: Developing a fix for the issue and testing it thoroughly to ensure that it resolves the problem.
  2. Collecting more data: Collecting more data on the issue, including system logs, error messages, and query syntax.
  3. Analyzing the data: Analyzing the collected data to identify any patterns or correlations that may be related to the issue.

The "no video segments retrieved" error in MultimodalQnA with the Milvus vector dataset backend is a critical issue that can impact user productivity and system downtime. By following the recommendations and future work outlined in this article, we can resolve the issue and provide a more accurate and informative experience for users.