With v2.0, we've introduced Sequential Agentic Workflow.
The new agentic workflow allows you to:
⛓️Chain agents together
🔁Loopback mechanisms
🙋Human-in-the-Loop
🔶Conditional branches
Different from existing chatflow which relies LLM to act on its own, now you have greater control over the flow. Huge shoutout to @LangChainAI team for the exceptional LangGraph framework, which made all of this possible!
We're also excited to announce the closed beta release of Flowise Cloud! In addition to all existing features, cloud version also includes Evals and Logging. Join the waitlist here:
Here's 7 examples to help you get started with agentic workflow:flowiseai.com/join
1/7 Agentic RAG
A self-improving RAG that checks the relevance of retrieved documents to the user's question.
If the documents are found to be irrelevant, the agent will rephrase the question and loop back to retrieve a new set of documents until they pass the relevance score.
2/7 Human in the Loop
Enable the agent to pause at specific stages and request human approval before continuing, which is useful for preventing the agent from autonomously executing sensitive operations.