Overview
kapa is a retrieval augmented generation system (RAG). To set up an instance of Kapa you have to ingest all relevant technical knowledge required to answer the questions of the intended audience. To answer questions, Kapa first performs a search over an index created from the ingested knowledge sources, and then uses LLMs to generate the final output. You can manage your own data sources in the Kapa platform.
Kapa transforms your existing knowledge into a powerful AI assistant. Key features include:
- LLM-optimized connectors: Each integration is built for optimal performance with large language models.
- Automatic content refreshes: Your knowledge base stays current with regular, automated updates.
- Customizable security filters: Maintain control over ingested content with secure, configurable filtering options.
Supported data sources
If you have a suggestion or need for a data source not listed here, reach out with your request. In addition to officially supported sources, we're also here to help you ingest other data types via custom integrations and solutions.
GraphQLBeta
API schema information
Google DriveBeta
Shared document content
GuruBeta
Curated company knowledge
Microsoft TeamsBeta
Team collaboration data
SalesforceBeta
Customer relationship data
SharePointBeta
Enterprise content
SlabBeta
Internal wiki content
GitHub CodebaseBeta
Source code knowledge