Our pre-built solution allows your businesses to quickly interact with your data using natural language. Built utilizing AWS Knowledge Base, Bedrock, and Pinecone, you will be able to ask questions about data that lives in S3.

This system leverages Retrieval Augmented Generation (RAG) to provide Large Language Models (LLMs) with contextual information from private data sources. The result is highly relevant, accurate, and customized responses delivered directly within Slack. Companies can harness the full potential of their data for improved decision-making and operational efficiency, all while maintaining security and privacy standards.

The platform offers a seamless, automated RAG workflow that includes data ingestion, retrieval, and prompt augmentation without the need for custom code integration. Our solution ensures that businesses can easily connect their data sources to foundation models and agents, enhancing productivity and fostering innovation right from Slack.

Give your team access to the data they need in a conversational way. What will you put in your Knowledge Base?

File formats supported are: Plain text (.txt), Markdown (.md) HyperText Markup Language (.html), Microsoft Word document (.doc/.docx), Comma-separated values (.csv), Microsoft Excel spreadsheet (.xls/.xlsx), Portable Document Format (.pdf)