Gencore AI for Oracle Object Storage

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

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

Core Capabilities:

1. Safe Enterprise AI Copilots: Build AI copilots and knowledge systems by combining data from multiple sources in minutes. Includes automatic enterprise controls, usage monitoring, and full provenance tracking.

2. Secure Sync to Vector Databases: Ingest and synchronize data from multiple systems at scale. Create custom embeddings with metadata for vector databases, preparing enterprise data for LLM use.

3. Curate and Sanitize Training Data: Assemble, cleanse, and sanitize high-quality datasets for AI model training and fine-tuning.

4. Protect AI Interactions: A conversation-aware LLM Firewall safeguards prompts, responses, and data retrievals in AI systems.

Key Features:

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

2. Inline AI Pipeline Controls: Ensure secure AI operations with layers including data sanitization, LLM firewalls for policy-compliant interactions, and continuous compliance monitoring (NIST AI RMF, EU AI Act, etc.).

3. Complete AI System Provenance: Get full visibility into AI operations, data usage, and individual file and user interactions across all AI models and endpoints.

Loading Oracle Object Storage Data into Your GenAI Pipeline:

1. Choose Oracle Object Storage as your data source.

2. Select the relevant data system, bucket, or attribute.

3. Define the scope of the data you want to use.

4. Set optional conditions, including:

   • Object Prefix (text or regex)

   • Object Name (regex)

   • Object Tags (key:value pairs)

   • Extension Category

   • Specific Extensions

   • Object Size

   • Last Modified date

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