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Flowise — Orchestration for RAG Pipelines & Agents

Flowise — Orchestration for RAG Pipelines & Agents

Flowise is the orchestration layer of AI Fabrix. It allows enterprises to design, manage, and monitor retrieval-augmented generation (RAG) pipelines and AI agents — with full alignment to governance and compliance policies defined in Miso.

Flowise ensures that AI is not just experimental, but structured, auditable, and ready for production scaling.

Table of Contents

  1. Role of Flowise
  2. Pipeline Orchestration
  3. Agent Framework
  4. Structured Outputs & Reuse
  5. Governance & Observability
  6. Enterprise Benefits

Role of Flowise

Flowise provides a visual and programmable interface to build AI-powered flows. It connects:

  • Data sources from Core Services.
  • Azure OpenAI or other LLM endpoints.
  • Policies and metadata filters from Miso.
  • Custom plugins via the Fabrix SDK.

It is the workflow brain of Fabrix — ensuring AI tasks are transparent, consistent, and reproducible.

Pipeline Orchestration

Flowise enables enterprises to design retrieval pipelines that:

  • Ingest queries from users or systems.
  • Retrieve context via metadata-aware search.
  • Pass results to AI models (Azure OpenAI, OSS models, etc.).
  • Apply governance filters and response shaping.

Pipelines can be versioned, tested, and deployed through Dev → Test → Prod lifecycles, ensuring repeatability and compliance.

Agent Framework

Flowise includes an agent orchestration system:

  • Agents can use tools such as connectors, APIs, or external actions.
  • Each agent runs under governance (identity, permissions, audit).
  • Agents are reusable across teams and business cases.

This allows enterprises to standardize “assistants” for domains like sales, legal, HR, or IT operations.

Structured Outputs & Reuse

To avoid “black box” answers, Flowise supports:

  • Structured outputs with schema validation (tables, JSON, forms).
  • Reusable building blocks (retrieval nodes, enrichment steps, policy checks).
  • Composable flows — enterprises can chain and reuse components across projects.

This reduces duplication and ensures consistent AI behaviors across departments.

Governance & Observability

Flowise is tightly integrated with Miso:

  • Policy Enforcement: All flows inherit quotas, egress rules, and access controls.
  • Audit Logging: Every flow execution is logged with correlation IDs.
  • Cost Tracking: Telemetry shows usage per pipeline or agent.
  • Health Monitoring: Admins can view flow performance and errors in real time.

This transforms AI orchestration from trial-and-error into a governed enterprise process.

Enterprise Benefits

With Flowise, enterprises gain:

  • Transparent Orchestration: AI pipelines are visible and manageable.
  • Standardized Agents: Consistent behaviors across use cases.
  • Governed Workflows: Every step is policy-aware and auditable.
  • Faster Adoption: Reusable building blocks accelerate deployment.

✅ [[PLACEHOLDER: Add diagram — Flowise orchestrating data retrieval, LLMs, and policies into governed pipelines and agents.]]

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