Resources

It’s a typical Monday morning in an enterprise where data flows like rivers, spanning across SharePoint, Google Drive, Slack, and more. An engineer sits down, enters a query into the company’s cutting-edge AI-powered enterprise search tool, and, like magic, instead of retrieving a list of documents, it generates a detailed response synthesized from multiple sources.

Demo on how Pebblo can help to build Safe GenAI applications for Enterprises using Microsoft SharePoint and Azure Active Directory for Identity management. Tech stack uses the widely popular Postgres database as the Vector DB

Demo on how Pebblo can help to build Safe GenAI applications for Enterprises using Microsoft SharePoint and Azure Active Directory for Identity management. Tech stack uses the widely popular Postgres database as the Vector DB

Connect your Gen-AI application to Pebblo Cloud hosted by Daxa Platform for AI Governance and Safety. As part of that, learn how to add custom topics to the Pebblo Classifier to identify and flag company-specific document types as part of the RAG ETL ingestion pipeline

OpenSource and Langchain-ready

Bringing identity and authorization to the Gen-AI application

Built using Pebblo SafeRetriever for LangChain, GoogleDrive loader, and Microsoft Phi-3 model

Built using Pebblo, LangChain, Unstructured.io, and Qdrant Vector DB

Identity enforcement using Pebblo (open source project), LangChain, and Unstructured