qKnow Intelligent Agent Building Platform Open Source Edition v2.4.2 optimizes the knowledge file ingestion workflow by introducing data synchronization capabilities to both the Knowledge Base and Knowledge Graph.
It now supports direct connections to external storage systems such as HDFS, FTP, and OSS, enabling massive volumes of files to be synced to the platform without the need for downloading, further streamlining the preprocessing pipeline before enterprise knowledge enters the knowledge base.
From "Local File Upload" to Connecting with Existing Enterprise Storage Systems
During the construction of enterprise intelligent agents, knowledge bases typically require continuous ingestion of large volumes of business materials.
These files are usually not stored directly on local servers but are already housed within the enterprise's existing data storage infrastructure.
Common storage systems include:
- HDFS
- OSS
- FTP
Previously, when enterprises needed to import these files into qKnow for knowledge processing, the typical workflow was:
Third-party storage → Download files → Organize locally → Upload to qKnow → Begin parsing
This approach has minimal impact when dealing with a small number of files.
However, when enterprises face massive volumes of knowledge files, the issues gradually become apparent:
- Manual downloading and uploading of files increases operational steps.
- Large volumes of files repeatedly passing through local servers consume additional disk space.
- Frequent data transfers consume network bandwidth and increase server load.
Therefore, what enterprise knowledge management needs is not just "file upload support," but the ability to connect with existing data storage systems, allowing knowledge files to flow more seamlessly into the agent building process.
The new data synchronization capability in qKnow Open Source Edition v2.4.2 is designed precisely to optimize this stage.
01: New Data Sync Entry — Knowledge Base and Knowledge Graph Support Direct Connection to External Storage
qKnow Open Source Edition v2.4.2 adds a data synchronization entry point within the knowledge file management of both the Knowledge Base and Knowledge Graph.
Users no longer need to download files to local storage first and then import them via upload.
Instead, they can directly configure external storage connections and select the knowledge files to sync from existing file directories.
The overall workflow is now:
Configure data connection → Select knowledge files → Complete file information → Finish sync
This eliminates the intermediate file transfer process, allowing knowledge materials already stored in enterprise systems to enter the qKnow parsing pipeline more directly.
Supports HDFS, FTP, and OSS Data Connections
Upon entering the data synchronization page, the workflow is divided into three steps:
Data Connection → File Selection → File Information
The data connection step supports three connection types:
- HDFS
- FTP
- OSS (Alibaba Cloud)
Different data source types require their corresponding connection configurations.
For example:
- HDFS requires filling in the corresponding connection information based on the cluster environment.
- FTP requires configuring server address, account, and other connection parameters.
- OSS requires completing the corresponding configuration based on the cloud storage environment.
After completing the connection information, users need to click "Test Connection."
Only after the test passes can they proceed to the next step.
Additionally, if users modify any connection configuration after a successful test, the "Next" button will be restricted again, requiring re-verification of the connection.
This design prevents users from proceeding with unverified configurations after connection information has been changed.
02: Three-Step Wizard-Style Sync Workflow to Reduce Knowledge File Ingestion Complexity
Enterprise knowledge file synchronization typically involves:
- Data source connection
- File location
- File attribute configuration
If these operations are all concentrated on a single page, users may easily overlook necessary configurations.
qKnow v2.4.2 breaks the data synchronization process into three steps, guiding users through the workflow progressively.
Step 1: Configure Data Connection and Verify Accessibility
Upon entering the data synchronization page, the first task is to complete the data connection configuration.
Supported types:
- HDFS
- FTP
- OSS
After filling in the connection details, users must perform a connection test.
Only after a successful test can they proceed to the next step.
If the connection information changes, re-verification is required.
This workflow ensures:
- The current storage is accessible.
- The configuration information is correct.
- The basic conditions for subsequent file reading are met.
By moving the connection test to an earlier stage, it reduces the situation where users discover the data source is inaccessible only after entering the file selection phase.
Step 2: Select Knowledge Files to Sync
After completing the data connection, users proceed to the file selection step.
In this step, users must select at least one knowledge file before continuing.
Additionally, a file format description is displayed next to the file selection button to inform users of the currently supported file types.
The supported file formats remain consistent with those for standard knowledge file creation.
Directory Tree Combined with File List for Quick File Location
After clicking "Select Files," the system opens a file selection window.
The window is divided into two areas:
- Left side: Displays the file directory structure read through the data connection.
- Right side: Displays the files and folders within the current directory.
Users can:
- Navigate to different folders via the left-side directory tree.
- Click folders in the list to continue browsing.
- Use file name search for quick location.
The file list displays:
- File name
- File type
- File path
- File size
- Last updated time
For enterprise scenarios with large volumes of files, this combination of directory browsing and search reduces the time spent navigating through layers of files.
Supports Batch File Selection for Sync
On the file selection page, users can select multiple knowledge files based on their actual needs.
After selection, clicking "Confirm" will display the sync selection results in the file list.
If any files are found to be unnecessary for sync, they can also be removed from the external list via the action bar.
After confirming the files are correct, users proceed to the next step.
This allows a final confirmation of the file scope before the actual sync, reducing the chance of incorrectly selected files entering the knowledge processing pipeline.
Step 3: File Information Configuration to Keep Synced Knowledge Content Manageable
After completing file selection, users enter the file information configuration stage.
This stage requires filling in basic information for the synced files, including:
- Assigned category
- Data style
- File description
This information helps enterprises manage files that have entered the knowledge base at a later stage.
For example:
- Knowledge materials from different business departments can be assigned to different categories.
- Different types of data files can have their corresponding attributes set based on actual conditions.
- File descriptions can provide details about file source or purpose.
In the file information configuration, if semi-structured files such as JSON/JSONL were selected in Step 2, users need to further select a data style.
If such files were not selected, this configuration is not required.
After completing all information, clicking "Confirm" finalizes the data synchronization.
03: Knowledge Graph Sync Workflow Remains Consistent, with Added File Type Restrictions
In addition to Knowledge Base data synchronization, qKnow v2.4.2 also supports data synchronization within the Knowledge Graph.
The overall workflow remains consistent with the Knowledge Base:
Data Connection → File Selection → File Information
The difference is:
When selecting files in Step 2 for Knowledge Graph data synchronization, JSON/JSONL type data is not supported.
All other file formats remain the same.
Additionally, a corresponding file format description is displayed next to the file selection button to inform users of the currently supported range.
Release Value: Shifting Enterprise Knowledge Ingestion from File Transfer to Direct Data Connection
The v2.4.2 upgrade of qKnow Open Source Edition primarily focuses on the ingestion workflow before knowledge files enter the platform.
- Reduces manual file transfer processes
By adding HDFS, FTP, and OSS data synchronization capabilities, enterprises no longer need to download files locally and then upload them to qKnow. They can connect directly to existing storage systems.
- Reduces local storage and network pressure
Repeatedly downloading and uploading large volumes of files consumes server space and network bandwidth. The direct sync approach reduces intermediate transfer steps, helping to lower local server load.
- Improves management efficiency for massive knowledge files
Through capabilities such as directory tree browsing, file search, and file information display, users can more conveniently locate and select files from external storage for ingestion into the knowledge base.
Overall, qKnow Intelligent Agent Building Platform v2.4.2 is not simply adding another file upload entry point, but further improving the connection method for existing enterprise data assets to enter the agent knowledge system.
Final Thoughts
During enterprise intelligent agent construction, knowledge acquisition capability is a foundational component.
As knowledge scale continues to grow, the sources of knowledge files are becoming increasingly diverse. If enterprises still rely on manual downloading, organizing, and uploading, it not only increases operational costs but also affects knowledge update efficiency.
qKnow Intelligent Agent Building Platform Open Source Edition v2.4.2 addresses this issue by introducing data synchronization capabilities:
- On the knowledge ingestion side: Supports HDFS, FTP, and OSS external storage connections, allowing existing enterprise file resources to directly enter the knowledge processing pipeline.
- On the operational workflow side: Uses a three-step wizard — data connection, file selection, and file information — to reduce the complexity of file synchronization operations.
- On the file management side: Provides directory browsing, search, path, size, and last updated time information display, helping users more accurately select knowledge files.
These capabilities cannot replace an enterprise's own data governance standards, nor can they automatically resolve all external storage permission and network configuration issues.
However, by reducing file transfer steps and optimizing the knowledge file ingestion workflow, qKnow v2.4.2 further improves the connection path between enterprise storage systems and intelligent agent applications, providing a more stable foundational capability for subsequent knowledge base construction and agent application deployment.
Top comments (0)