FlowiseAI
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Open source low-code tool for developers to build customized LLM orchestration flow & AI agents.

146

Flowise AI

Introduction

Flowise, an open-source platform, simplifies creating and managing customized LLM flows with its drag-and-drop interface. It empowers developers to build backends for LLM applications like QnA, document summarization, and analysis. Supporting over 100 integrations, including Langchain and LlamaIndex, Flowise enables the development of AI agents, custom tools, and LLM orchestration flows. Its low-code approach facilitates seamless transitions from testing to production, offering APIs, SDKs, and embedded widgets for added flexibility.

Flowise AI

Features

✨ Low-code LLM App Builder
Provides a drag-and-drop interface to easily design and manage backends for LLM applications.

✨ AI Agent Creation
Enables developers to build and customize AI agents tailored to specific use cases.

✨ LLM Orchestration
Allows seamless creation of workflows for Large Language Models with flexibility and efficiency.

✨ API and SDK Integration
Offers APIs, SDKs, and embedded widgets to ensure smooth integration into various applications.

✨ Support for Open-Source LLMs
Integrates technologies like Langchain, LlamaIndex, and more, with compatibility for over 100 tools.

Flowise AI

Use Cases

✓ Product Catalog Chatbot
Enable users to navigate and explore product catalogs seamlessly through interactive AI-driven chat.

✓ SQL Chatbots
Simplify database queries by allowing natural language interactions to retrieve, analyze, and manage SQL data effortlessly.

✓ RAG Applications
Build Retrieval-Augmented Generation (RAG) systems for advanced information retrieval and contextual generation from large datasets.

✓ AWS Bedrock LLM Apps
Leverage Flowise to develop scalable applications powered by AWS Bedrock Large Language Models.

✓ Custom AI Assistants
Design personalized AI assistants tailored to specific workflows, industries, or user requirements.

Flowise AI

Integration Method

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