Skip to main content
FlowX.AI 5.6.0 brings conversational AI to your apps. Build multi-turn chat experiences where agents remember context, classify user intent, and navigate users to the right screen β€” all within a single workflow. On the integration side, incoming webhooks let external systems start processes via HTTP, proxy connections route traffic through intermediary servers, and unmanaged MongoDB connects FlowX to your existing database infrastructure. The UI layer gains session variables, route management, chat history, and suggested prompts for richer end-user experiences.

For AI builders

Chat Driven workflows, session memory, intent routing, and context retrieval

For integrators

Incoming webhooks, proxy connections, unmanaged MongoDB, and base64 certificates

For UI developers

Session variables, route management, chat history, suggested prompts, and new UI events

What changed since 5.5.0

5.5.05.6.0
Output Focused workflows only+ Chat Driven workflows with multi-turn memory
No event-driven process starts from external systemsIncoming webhooks with API key auth
FlowX-managed MongoDB only+ Unmanaged MongoDB β€” bring your own database
No conversation persistenceChat History β€” browse and resume past sessions
Static chat empty stateSuggested Prompts β€” guide users with one-click starters
Certificate file paths onlyBase64 certificates β€” paste content directly, no file mounts
No cross-page data in UI FlowsSession variables β€” persist data across pages and workflows

What’s new?
Build complete conversational AI pipelines β€” from understanding what the user wants, to retrieving the right context, to navigating them to the right screen.πŸ’¬ Conversational Workflows - New Chat Driven workflow type for multi-turn conversations
🧠 Memory Capabilities - Automatic session memory with summarization across turns
🎯 Intent Classification node - Classify user messages and route to the right branch in one step
🧭 Navigate in UI Flow - Let the AI open forms and screens with contextual data
πŸ” Context Retrieval node - RAG search against Knowledge Bases without calling an LLM
πŸ“„ Extract Data from File - Three extraction methods, image support, and signature detection
🌐 Web Page Extractor - Crawl web pages and extract readable content for AI processing
See also: Chat History, Suggested Prompts, and Markdown in chat in the UI & Designer tab.

Conversational Workflows

Conversational Workflows

Chat Driven workflows are a specialized workflow type for multi-turn chat interactions. Unlike Output Focused workflows that process structured input/output, Chat Driven workflows manage ongoing dialogue β€” handling message exchange, session memory, and response routing through a dedicated Start node layout (Chat Session ID + User Message) and Custom Agent nodes with direct chat reply capability.
Conversational workflow with Custom Agent configuration

Documentation

See the complete Conversational Workflows documentation.
Major FeatureAll Deployments

Memory Capabilities

Memory Capabilities

Conversational workflows include built-in session memory that automatically persists and retrieves conversation history. On each message, the system retrieves the last 3 turns of raw messages plus a summary of earlier exchanges, injecting them into the AI node’s system prompt for context-aware responses.
Memory tab showing conversation summary and history

Documentation

See the complete Memory Capabilities documentation.
Major FeatureAll Deployments

Intent Classification node

Intent Classification Node

A dedicated workflow node that combines AI-powered message classification with workflow branching in a single step. Define up to 10 intents with natural language descriptions, and the node classifies user messages and routes to the matching branch automatically β€” replacing the previous TEXT_UNDERSTANDING + Condition two-node pattern.
Intent Classification node

Documentation

See the complete Intent Classification documentation.
AI IntegrationAll Deployments

Navigate in UI Flow

A new workflow node exclusive to Chat Driven (conversational) workflows. It navigates the user to a specific screen in a UI Flow, passing dynamic parameters β€” for example, the AI says β€œLet me open your account details” and the user sees a pre-filled form with data from the conversation.
Navigate in UI Flow node configuration

Documentation

See the Navigate in UI Flow section in Conversational Workflows.
All Deployments

Context Retrieval node

Context Retrieval Node

A dedicated workflow node that performs RAG (Retrieval-Augmented Generation) searches against Knowledge Bases without calling an LLM. Returns raw chunks with relevance scores and metadata, giving you full control over downstream processing. Supports hybrid, semantic, and keyword search with configurable re-ranking and metadata filters.Use Context Retrieval when you need to inspect, filter, or transform chunks before passing them to an LLM β€” for example, checking relevance scores before generating a response. For all-in-one RAG, use a Custom Agent node with a Knowledge Base attached instead.
Context Retrieval node configuration

Documentation

See the complete Context Retrieval documentation.
AI IntegrationAll Deployments

Extract Data from File

Extract Data from File

The workflow node formerly known as β€œExtract Text from Document” has been renamed to Extract Data from File and gained three new configurable settings: Extraction Method (LLM Model, OCR Engine, or Text Parsing), Image Extraction (Image Description or Image Contents), and Detect Signatures. The node now also accepts image files (JPG, PNG, TIFF) in addition to documents.

Documentation

See the complete Extract Data from File documentation.
All Deployments

Web Page Extractor

Web Page Extractor

A new workflow node in the Tools category that collects readable content from web page URLs. Crawl documentation sites to build a Knowledge Base, scrape product pages for competitive analysis, or extract terms and conditions for compliance review. Supports static URL lists or dynamic URL generation, configurable crawling depth with link following, PDF extraction from linked documents, and adjustable scrape speed presets.
Web Page Extractor node configuration

Documentation

See the complete Web Page Extractor documentation.
All Deployments
Last modified on April 9, 2026