Gencore AI for G Suite Google Drive

Gencore AI helps organizations quickly and easily build secure, enterprise-grade generative AI (GenAI) systems, AI copilots, and agents. It speeds up GenAI adoption by enabling the creation of data + AI pipelines that work with both structured and unstructured proprietary enterprise data across hundreds of different systems and applications.

You can use any Google Cloud foundation model like Vertex AI, Gemini, or PaLM 2, as well as third-party models including Anthropic, Claude, Meta Llama 2, Mistral, and more.

Core Capabilities:

1. Build Secure Enterprise AI Copilots: Combine data from multiple systems to create AI copilots and knowledge platforms in minutes, with automatic enterprise controls, AI usage tracking, and full provenance.

2. Sync Data Safely to Vector Databases: Ingest and sync data at scale from multiple systems, generating custom embeddings with metadata for vector databases to prepare enterprise data for LLMs.

3. Curate and Clean Data for Model Training: Easily gather, sanitize, and prepare high-quality datasets for AI model training and fine-tuning.

4. Protect AI Interactions: The LLM Firewall monitors natural language interactions, securing prompts, responses, and data retrievals.

Key Features:

1. Enterprise-Wide Data Connectivity: Securely ingest data via hundreds of native connectors, supporting AI applications that use both structured and unstructured data across SaaS, on-premise, public, and cloud environments.

2. Inline Pipeline Controls: Protect AI workflows with data sanitization, LLM firewalls for policy-compliant interactions, and continuous compliance monitoring (e.g., NIST AI RMF, EU AI Act).

3. Full AI System Provenance: Gain complete visibility into AI usage, including individual files, users, models, and endpoints.

Load Your G Suite Google Drive Data for GenAI Pipelines in Minutes:

1. Select G Suite Google Drive as the data source.

2. Choose the system, folder, or attribute for Google Drive.

3. Define the relevant data scope.

4. Set optional conditions:

   • Object Prefix (text or regex)

   • Object Name (regex)

   • Object Tags (key:value)

   • Extension Category

   • Object Extensions

   • Object Size

   • Last Modified date

5. Click Save and Continue to enter the Data Sanitizer stage.