Overview
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)
Highlights
- Can talk directly to AI bot in Slack, or add the bot to a channel as needed.
- Data placed in S3 can be synced at regular intervals so information stays relevant.
- All setup is done in accounts you own and have control over.
Details
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
We walk through your installation and perform the setup for you.
If you need additional support at any time, you can contact us on our website here: https://www.tech42consulting.com/contact
In addition, you may email us at hello@tech42consulting.com , or call us at 404-477-4270.