You can easily integrate Search actions into the applications you develop on the Kuika platform.

These actions enable vector search on resources added to the system, allowing the most relevant documents to be identified with high accuracy based on user queries. Additionally, these documents can be sent to large language models like OpenAI using the RAG (Retrieval-Augmented Generation) method, enabling the generation of contextually relevant and direct responses to user queries.

Searching actions:

• Works with files, folders, or sources in base64 format.
• Splits these sources into specific-sized pieces and converts them into vector format.
• Stores each piece securely by linking it to metadata.
• You can delete sources at any time or synchronise them at specified intervals to keep them up to date.

This allows you to make data access and search operations faster, more efficient, and more user-friendly.

Searching Actions Offered in Kuika

Save Source

• Allows you to upload files from Google Drive, AWS S3, or Manual providers and save them to the database.
• You can search the saved files.

Get All Source List

• Lists all sources associated with a specific Collection Id.
• If no Collection name is specified, sources in the Default Collection are listed.

Delete Source

• Deletes sources with the specified Collection Id from the system.
• Allows you to clean up unnecessary or old sources.

Search

• Performs a search in the database or file collections based on a specific query.
• Can be used with different search types such as Vector Search, Exact Vector Search, and RAG Search.

By using these actions, you can integrate advanced search and data management operations into your application on the Kuika platform.