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Multimodal RAG & Agentic Workflows via Enterprise h2oGPTe | Part 15

H2O.ai16 June 2026Watch on YouTube

Part of series

Ep. 5 · Enterprise H2ogpte Part

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Description

How h2oGPTe grounds LLMs in enterprise data using multimodal RAG, hybrid search, and autonomous agent workflows. LLMs don't inherently know your internal products, policies, or customer history. h2oGPTe bridges this gap by ingesting 50+ file formats—including documents, audio, and video—using multi-engine OCR and native enterprise connectors for SharePoint, S3, and Azure. Hybrid retrieval combines semantic similarity and BM25 with Reciprocal Rank Fusion and cross-encoder reranking for precise, citation-backed answers. Agentic workflows extend RAG further by enabling autonomous retrieval, reasoning, and tool execution. Technical Capabilities & Resources ➤ Document Ingestion & Transformation: 50+ format support with multi-engine OCR, table preservation, and enterprise connectors. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/collections/supported-file-types ➤ Built-in & External Vector Storage: Includes Vex embedded vector database plus integrations with external vector providers. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/architecture/vector-database ➤ Advanced Hybrid Search: Combines semantic similarity, BM25, Reciprocal Rank Fusion, and cross-encoder reranking. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/chats/chat-settings#generation-approach ➤ Agentic Workflows: Autonomous agents that iteratively retrieve, reason, and trigger tool execution for complex queries. 🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/agents

What you'll learn

  • h2oGPTe connects LLMs to enterprise data through multimodal RAG, grounding AI in actual business information.
  • The platform supports document ingestion of 50+ file formats including documents, audio, and video with multi-engine OCR.
  • Hybrid retrieval combines semantic search with BM25 and cross-encoder reranking to deliver precise, citation-backed answers.
  • Agentic workflows enable autonomous AI agents to iteratively retrieve data, reason through problems, and execute tools for complex queries.
  • Enterprise connectors for SharePoint, S3, and Azure enable direct integration with existing business systems.

Frequently asked questions

What file formats can h2oGPTe process?
h2oGPTe supports ingestion of 50+ file formats, including documents, audio, and video. The platform uses multi-engine OCR and table preservation for optimal text extraction.
How does hybrid retrieval deliver accurate answers?
Hybrid retrieval combines semantic search with BM25 search, applies Reciprocal Rank Fusion, and reranks results via cross-encoders. This produces precise answers with citations from source documents.
What are agentic workflows and how do they differ from standard RAG?
Agentic workflows extend RAG by enabling autonomous agents that iteratively retrieve data, perform reasoning, and execute tools. This allows the system to handle more complex, multi-step questions independently.
What enterprise integration options does h2oGPTe offer?
h2oGPTe provides native enterprise connectors for SharePoint, S3, and Azure, plus support for an embedded vector database (Vex) and integration with external vector storage providers.

Topics

ragenterprise-aiagentsllmh2o