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AI Agents

Orchestrate AI Agents

Build multi-agent systems, RAG pipelines, and LLM orchestration workflows visually β€” with full observability, type-safety, and explainability baked in.

The Challenge

AI is hard to ship reliably

Prompt chains in Python scripts, RAG pipelines held together with duct tape, zero observability into what the model actually did. Sound familiar?

01

LLM pipelines are opaque β€” when outputs go wrong, debugging means reading logs line by line.

02

Chaining agents, tools, and retrievers requires glue code that's fragile and hard to maintain.

03

No governance β€” you can't explain to compliance what the AI did or why it made a particular decision.

The Solution

Visual AI orchestration

Flow-Like turns every LLM call, retriever step, and tool invocation into a visible, testable, auditable graph node.

Visual Agent Graphs

Compose multi-agent systems by connecting LLM nodes, tool nodes, and decision nodes visually. See the full execution path.

RAG Pipeline Builder

Build retrieval-augmented generation flows with chunking, embedding, similarity search, and reranking nodes.

Full Observability

Every prompt, response, token count, and latency is logged. Replay any execution to understand exactly what happened.

Explainability & Compliance

Generate audit-ready explanations of AI decisions. Meet EU AI Act, SOC 2, and internal governance requirements.

Capabilities

Built for AI teams

Multi-Model Support

Switch between OpenAI, Anthropic, local models, or custom endpoints with a single node swap.

Vector Store Nodes

Connect Qdrant, Pinecone, Weaviate, or pgvector for semantic search and retrieval.

Tool Calling

Give agents access to APIs, databases, and code execution through sandboxed tool nodes.

Evaluation Loops

Build automated eval pipelines that test prompts against golden datasets on every change.

Guardrails

Add content filters, PII detection, and output validation nodes to any agent pipeline.

Streaming Output

Stream LLM responses to UIs in real-time while maintaining the full audit trace.

Ready to ship AI you can trust?

See how Flow-Like can help your team build reliable, explainable AI systems. Book a demo focused on your specific AI use case.