FlowiseAI

Flowise is an open-source, low-code platform that enables developers to create customized Large Language Model (LLM) applications and AI agents. It utilizes a drag-and-drop interface to simplify the process of building and deploying LLM apps, making it accessible to users with varying levels of coding expertise.

Key features:
- LLM Orchestration: Connects LLMs with components such as memory, data loaders, cache, and moderation tools, supporting integrations with frameworks like LangChain and LlamaIndex.
- Agents & Assistants: Allows creation of autonomous agents for tasks such as customer support or data querying, using custom tools, OpenAI Assistant, and Function Agents.
- Developer-Friendly Tools: Provides APIs, SDKs, and embedded widgets for extending and integrating LLM capabilities into existing applications, including React SDK support.
- Platform Agnostic: Supports open-source LLMs and can run in air-gapped environments with local LLMs, embeddings, and vector databases.
- Ready-to-Use Templates: Offers pre-built app templates with logic and conditions connected to LangChain and GPT for quick development of conversational agents and chatbots.
- Seamless Deployment: Enables easy deployment on cloud platforms for rapid transition from testing to production.

How it works:
1. Install Flowise using npm commands.
2. Build applications by dragging and dropping components in the Flowise interface.
3. Configure LLMs, tools, data sources, logic, and agents.
4. Deploy the application on cloud platforms or self-hosted environments.
5. Integrate with existing systems using Flowise's APIs, SDKs, and widgets.

Integrations:
LangChain, LlamaIndex, HuggingFace, Ollama, LocalAI, Replicate, AWS, Azure, GCP

Use of AI:
Flowise utilizes generative AI by integrating with LLMs such as GPT, Llama2, Mistral, Vicuna, Orca, and Llava. These models are used to create conversational agents, chatbots, and other AI-driven applications. The platform's integration with LangChain and other tools enables sophisticated orchestration of LLMs for complex AI workflows.

AI foundation model:
Flowise supports various LLMs including GPT, Llama2, Mistral, Vicuna, Orca, and Llava. It is compatible with platforms like HuggingFace, Ollama, LocalAI, and Replicate.

Target users:
- Developers building and deploying LLM applications
- Businesses requiring custom AI solutions for tasks like customer support and data querying
- Educators and researchers creating educational tools and research assistants

How to access:
Flowise is available as a web app, API, and SDK, providing versatility for different development needs. It is an open-source platform that fosters a community of developers and users who contribute to its growth and improvement.