Knowledge

Sim Studio's Knowledge Base is a powerful native feature that enables you to create, manage, and query custom knowledge bases directly within the platform. Using advanced AI embeddings and vector search technology, the Knowledge Base block allows you to build intelligent search capabilities into your workflows, making it easy to find and utilize relevant information across your organization.

The Knowledge Base system provides a comprehensive solution for managing organizational knowledge through its flexible and scalable architecture. With its built-in vector search capabilities, teams can perform semantic searches that understand meaning and context, going beyond traditional keyword matching.

Key features of the Knowledge Base include:

Semantic Search: Advanced AI-powered search that understands meaning and context, not just keywords
Vector Embeddings: Automatic conversion of text into high-dimensional vectors for intelligent similarity matching
Custom Knowledge Bases: Create and manage multiple knowledge bases for different purposes or departments
Flexible Content Types: Support for various document formats and content types
Real-time Updates: Immediate indexing of new content for instant searchability

In Sim Studio, the Knowledge Base block enables your agents to perform intelligent semantic searches across your custom knowledge bases. This creates opportunities for automated information retrieval, content recommendations, and knowledge discovery as part of your AI workflows. The integration allows agents to search and retrieve relevant information programmatically, facilitating automated knowledge management tasks and ensuring that important information is easily accessible. By leveraging the Knowledge Base block, you can build intelligent agents that enhance information discovery while automating routine knowledge management tasks, improving team efficiency and ensuring consistent access to organizational knowledge.

Parameter	Type	Required	Description
`knowledgeBaseIds`	string	Yes	ID of the knowledge base to search in, or comma-separated IDs for multiple knowledge bases
`query`	string	Yes	Search query text
`topK`	number	No	Number of most similar results to return (1-100)
`tag1`	string	No	Filter by tag 1 value
`tag2`	string	No	Filter by tag 2 value
`tag3`	string	No	Filter by tag 3 value
`tag4`	string	No	Filter by tag 4 value
`tag5`	string	No	Filter by tag 5 value
`tag6`	string	No	Filter by tag 6 value
`tag7`	string	No	Filter by tag 7 value

Output

Parameter	Type
`results`	string
`query`	string
`totalResults`	string

`knowledge_upload_chunk`

Upload a new chunk to a document in a knowledge base

Input

Parameter	Type	Required	Description
`knowledgeBaseId`	string	Yes	ID of the knowledge base containing the document
`documentId`	string	Yes	ID of the document to upload the chunk to
`content`	string	Yes	Content of the chunk to upload

Output

Parameter	Type
`data`	string
`chunkIndex`	string
`content`	string
`contentLength`	string
`tokenCount`	string
`enabled`	string
`createdAt`	string
`updatedAt`	string

`knowledge_create_document`

Create a new document in a knowledge base

Input

Parameter	Type	Required	Description
`knowledgeBaseId`	string	Yes	ID of the knowledge base containing the document
`name`	string	Yes	Name of the document
`content`	string	Yes	Content of the document
`tag1`	string	No	Tag 1 value for the document
`tag2`	string	No	Tag 2 value for the document
`tag3`	string	No	Tag 3 value for the document
`tag4`	string	No	Tag 4 value for the document
`tag5`	string	No	Tag 5 value for the document
`tag6`	string	No	Tag 6 value for the document
`tag7`	string	No	Tag 7 value for the document