With the Knowledge node, you can integrate various information sources into your AI workflows, enabling agents to access and utilize relevant data to provide more accurate and contextual responses. This node supports several types of knowledge sources:
- Docs (Documents): Upload and manage various document formats (e.g., PDF, TXT, DOCX) that AI can use to answer questions or provide information.
- Table (Tables): Connect or upload data in tabular formats (e.g., CSV, or Excel) so that AI can perform analysis, search for specific information, or generate data in visual forms such as bar charts, line graphs, donut charts, pie charts, and scatter plots.
- Audio: Integrate audio files (e.g., conversation recordings, transcripts) that AI can analyze to understand context, extract information, or provide responses based on the audio content.
- JSON: Leverage structured data in JSON format as a knowledge source for complex configurations, product details, or other specific information.
- Enhances Accuracy and Relevance: Allows AI to provide answers and take actions based on reliable and up-to-date information.
- Expands AI Capabilities: Provides access to various data types, going beyond basic natural language processing capabilities.
- Personalizes Interactions: Enables AI to tailor responses based on specific knowledge about users or context.