Key Technical Features:

LLM Inference Engines:

- Supports over 10 commercial models including OpenAI and Anthropic

- MaaS Providers: Hugging Face, Replicate, AWS Bedrock, NVIDIA, GroqCloud, Together.ai, OpenRouter etc.

- Local Model Support: Ollama (recommended), OpenLLM, LocalAI, vLLM

- OpenAI Interface Standard: Unlimited model integration

- Extensible framework for quickly integrating new models

Multimodal Features:

- Supports ASR models and a wide range of text models up to GPT-4o

- Built-in Applications: Chatbot, Agent, Workflow, Chatflow

- Prompt Editing: Visual editor interface with live preview

- Orchestration Modes: Simple, Assistant-based, Flow-based

Agentic Workflow Capabilities:

- Nodes: LLM, Data Retrieval, Question Classifier, IF/ELSE, Code, Templates, HTTP Request, Tools and more

- RAG Interface: Chunk preview and recall testing

- Retrieval Methods: Keyword, semantic (vector) similarity, hybrid search

- ETL Support: Auto-cleaning for TXT, Markdown, PDF, HTML, DOC, CSV

- RAG Database Support: PGVector (recommended), Elasticsearch, Weaviate, Milvus, Qdrant, Chroma,

Tooling and Deployment:

- Built-in Tools: Over 40 tools

- Direct integration of OpenAPI Spec APIs for custom tools

- Team Collaboration: Workspace and multi-user management

- Deployment: Rapid installation via Docker, Helm or native

Supported Functionalities:

- LLMs: Large Language Models

- Text Embeddings: Vector generation

- Reranking: Contextual reordering

- Speech-to-Text

- Text-to-Speech

Workflow Characteristics & Benefits:

Workflows are designed to simplify the management of complex systems in a deterministic way. They reduce dependency on prompt engineering and model inference by breaking large tasks into smaller steps.

Benefits include:
- High performance
- Increased stability
- Fault tolerance
- Determinism

Workflow Types:

Chatflow Use Cases:
- Customer service
- Semantic search
- multi-step conversational applications

Features:
- Memory support
- Annotated responses
- Question understanding nodes
- Answer nodes

Workflow Use Cases:
- Automation and batch processing
- Translation, data analysis, content creation, email automation

Features:
- Code, IF/ELSE, template transformation, iteration nodes
- Scheduled and event-driven actions

Common Use Cases:

Customer Support:
- Understands intent and context
- Provides accurate real-time answers
- Reduces support team workload

Content Generation:
- Blogs, product descriptions, marketing materials
- Delivers structured, informative outputs

Task Automation:
- Integration with collaboration tools like Trello, Slack, Teams etc.
- Understands user inputs via NLP
- Creates and updates tasks, assigns priorities

Data Analysis & Reporting:
- Analyzes large datasets
- Identifies trends, patterns, insights
- Converts raw data into actionable information

Email Automation:
- Drafts emails and social media updates
- Produces professional, contextual messages
- Saves time and ensures consistency