Overview
flowise
flowise
Flowise AI is a powerful open source tool designed to make building LLM based applications accessible and intuitive. Built on top of LangChain, Flowise provides a visual interface where users can create, customize, and deploy AI workflows using a drag and drop node system. This no-code/low-code platform allows developers, data scientists, and non technical users to connect components like language models, vector databases, APIs, and more visually and efficiently.
Flowise enables rapid prototyping and deployment of complex AI applications, such as chatbots, retrieval-augmented generation (RAG) systems, data agents, and more. It supports multiple LLM providers (OpenAI, Cohere, Hugging Face, etc.), vector stores (Pinecone, Chroma, Weaviate, etc.), and integrates easily into existing infrastructure with REST APIs and embedding capabilities.
Highlights
- Drag and drop interface to design LLM workflows easily.
- Built on LangChain for robust, modular, and scalable LLM pipelines.
- Integrate with other tools and systems via API endpoints
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
t3.medium Recommended | $0.05 |
t3.micro AWS Free Tier | $0.05 |
t2.micro AWS Free Tier | $0.05 |
m4.4xlarge | $0.05 |
t2.xlarge | $0.05 |
m4.large | $0.05 |
t2.small | $0.05 |
t3a.micro | $0.05 |
t3.small | $0.05 |
t3a.small | $0.05 |
Vendor refund policy
No Refund Policy
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
First Release
Additional details
Usage instructions
Support
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AWS infrastructure support
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