Preços especiais para o Brasil.

Veja agora

Preços especiais para o Brasil.

Veja agora

Aproveite agora os preços especiais para o Brasil.

Veja as ofertas

Buying guide
Certification
Support
Free trial
.

ADOBE COLDFUSION FEATURES

AI Driven Development

ColdFusion delivers a modular framework for building intelligent applications that connect large language models, enterprise data, and business workflows. With native AI integrations, document processing pipelines, RAG capabilities, MCP interoperability, and vector database support, ColdFusion simplifies the development of modern AI-driven applications while maintaining enterprise-grade reliability and security.

See it in action

Seamless AI Model Integration

Seamless AI Model Integration

Quickly connect applications to leading AI models and embedding services to deliver intelligent features with minimal setup.

  • LLM Connectivity: Integrate with leading models such as OpenAI, Gemini, Anthropic, and Mistral.
  • Flexible Model Deployment: Use both online AI services and offline models through tools like Ollama or in-process inference.
  • Embedding Support: Generate embeddings to enable semantic search, contextual retrieval, and intelligent recommendations.
  • Secure API Management: Built-in mechanisms for secure authentication and model access.
  • Streaming and Structured Responses: Support asynchronous streaming outputs and structured responses for real-time AI interactions.

Explore the Documentation | Watch the Full Tutorial

style
Divider, container

Intelligent Document Processing

Prepare enterprise documents for AI workflows by transforming unstructured content into structured, AI-ready data.

  • Unified Document Parsing: Extract and process information from multiple document formats through a single framework.
  • Automated Document Chunking: Split and structure content to optimize it for AI processing and retrieval.
  • Developer-Friendly Inspection: Return ColdFusion-native data structures for easier debugging and testing.
  • Pipeline-Ready Outputs: Feed processed documents directly into embedding, indexing, and AI workflows.

Explore the Documentation

Intelligent Document Processing
style
Divider, container
RAG

Retrieval Augmented Generation (RAG)

Deliver AI responses grounded in enterprise data rather than generic model knowledge.

  • Enterprise Knowledge Retrieval: Index and retrieve relevant information from documents and data sources.
  • Context-Aware Responses: Inject retrieved data into AI prompts to generate accurate, context-rich answers.
  • Asynchronous Processing: Scale retrieval and response generation across high-volume workloads.
  • Built-in Guardrails: Maintain control with safeguards that ensure reliable and safe AI responses.

Explore the Documentation | Watch the Full Tutorial

style
Divider, container

MCP-Based AI Connectivity

Simplify integration with AI platforms by enabling ColdFusion applications to securely exchange data, trigger workflows, and power intelligent automation.

  • MCP Client Capabilities: Connect ColdFusion apps to external AI tools and models.
  • MCP Server Support: Expose application functions, workflows, and datasets to AI systems.
  • Bidirectional Integration: Enable two-way communication between ColdFusion services and AI platforms.
  • Workflow Orchestration: Participate seamlessly in larger AI automation pipelines.

Explore the Documentation | Watch the Full Tutorial

MCP
style
Divider, container
Native Vector Database Support

Native Vector Database Support

Deliver more accurate and context-aware AI experiences by enabling intelligent search and retrieval across enterprise data using semantic understanding.

  • Vector Storage Integration: Store and query embeddings directly within ColdFusion-powered applications.
  • Semantic Search: Retrieve information based on meaning rather than keyword matching.
  • Similarity Matching: Discover related documents and data points across large datasets.
  • Embedding Integration: Connect embedding generation with vector storage for efficient AI retrieval.

Explore the Documentation | Watch the Full Tutorial

Questions? We have answers.

style
m-spacing-bottom