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FlowiseAI ✓

Build LLM apps visually with open-source tools

Source rating 5.0 (2) 5.3k views 168.6K/mo traffic 45 saves 1 comments Freemium
Agent LangchainJS Language Model
More categories (4)
Natural Language Processing AI Personalization Custom Models Apps
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Free + from $35/mo

Verdict

A quick read before you dig into the full page.

Best if
Build LLM apps visually with open-source tools
Skip if
Limited documentation
Pick this when
Customizable LLM flow

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Overview

FlowiseAI is an open source UI visual tool that helps in building customized LLM (Language Learning Models) flow using LangchainJS. With its user-friendly interface, FlowiseAI allows users to create custom LLM models effortlessly using a composition of customizable components.

The tool offers an extensible component that enables custom component integrations into the LLM chain and allows users to build LLM apps quickly. The LLM chain consists of a prompt template and LLM model, with basic and advanced examples available on the platform.

Users can also access conversational retrieval QA chains for QnA retrieval and language translation using LLM Chain with a Chat Prompt Template and Chat Model.FlowiseAI is an open source tool that can be used for both commercial and personal purposes, and its core will always be free.

The tool can be easily installed by running "npm install -g flowise" and then "npx flowise start" to launch it. Additionally, FlowiseAI supports Docker, and users can spin up a Docker container by running "docker-compose up -d".

The FlowiseAI team can be reached via email or Discord, and the tool is continually being improved by the team, with updates available on their Github repository.

Overall, FlowiseAI is an excellent tool for anyone looking to build customized LLM apps quickly and efficiently using LangchainJS.

FlowiseAI website

Best for

Short scenarios where FlowiseAI tends to shine.

  • Build LLM apps visually with open-source tools

Example outputs 1

Sample generations and before/after results for FlowiseAI.

FlowiseAI screenshot
FlowiseAI screenshot FlowiseAI website

Access & connections

Where you can use FlowiseAI, and what it plugs into.

Platforms

Web

Integrations

Discord GitHub Docker

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular
  • Text

Output

  • Tabular
  • Text

Pros & cons

Pros

  • Open source
  • Customizable LLM flow
  • User-friendly interface
  • Extensible component
  • Allows prompt templates
  • Basic and advanced examples
  • Conversational retrieval QA chains
  • Language translation using LLM Chain
Show 17 more
  • Installs via npm
  • Supports Docker
  • Commercial use allowed
  • Core always free
  • Continually updated by developers
  • Github repository updates
  • UI visual tool
  • Personal use allowed
  • Custom component integrations
  • Chat Prompt Template integration
  • Build LLMs Apps Quickly
  • Node Typescript/Javascript
  • Conversational agent functionality
  • User can Use buffers
  • MIT license
  • Email and Discord support
  • Allows building LLMs Apps

Cons

  • Requires knowledge of LangchainJS
  • No mobile version
  • Limited documentation
  • No forum community
  • Potential Docker issues
  • No version for non-developers
  • Requires knowledge of Node TypeScript/JavaScript
  • Updates reliant on GitHub activity
Show 1 more
  • Relies on email/Discord support

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Releases 1

Initial release March 29, 2023 Current
Initial release of FlowiseAI.

Imported reviews 1

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J D May 20, 2023 v@ initial release

This is great! TY!

FAQ 12

What is FlowiseAI?
FlowiseAI is an open source UI visual tool that assists users in creating personalized Language Learning Models (LLM) using LangchainJS. Its user interface allows users to build LLM flows effortlessly by composing customizable components.
How does FlowiseAI make the process of creating Language Learning Models (LLM) easier?
FlowiseAI simplifies the LLM creation process by offering an intuitive and user-friendly interface. Users can build customized LLM models utilizing a variety of customizable components. Moreover, FlowiseAI offers an extensible component that enables the integration of custom components into the LLM chain.
What is LLM chain in FlowiseAI?
An LLM chain in FlowiseAI consists of a prompt template and an LLM model. These two elements can be combined to build a variety of LLM flows. Basic and advanced examples of LLM chains are available on FlowiseAI's platform for reference.
What is LangchainJS and how FlowiseAI uses it?
LangchainJS is a language model used to build customized LLMS, and FlowiseAI utilizes it to create a seamless and efficient experience for users in developing personalized language models. It allows for the creation of various LLM flows through a user-friendly interface.
What components are customizable within FlowiseAI and how?
In FlowiseAI, the components that are customizable include the elements of the LLM chain, specifically the prompt template and the LLM model. These components can be configured and integrated as needed to build a variety of custom LLM flows.
Can FlowiseAI be used for commercial purposes?
Yes, FlowiseAI can be used for both commercial and personal purposes. Its open source nature makes it a flexible tool for a wide range of users.
How can I install FlowiseAI on my computer?
You can install FlowiseAI by executing the commands 'npm install -g flowise' followed by 'npx flowise start' in your terminal.
Does FlowiseAI support Docker, and how can I set a Docker container for it?
Yes, FlowiseAI supports Docker. You can set up a Docker container for FlowiseAI by executing the command 'docker-compose up -d' in your terminal.
Is there a platform where I can get updates about FlowiseAI?
FlowiseAI updates are available on their Github repository. This platform allows you to stay updated with the latest improvements and features added to FlowiseAI.
What type of examples are available on the FlowiseAI platform?
There are both basic and advanced examples available on the FlowiseAI platform, which help users understand the composition of LLM chains and the creation of customizable flows using the prompt template and LLM model.
What is the utility of the Chat Prompt Template and Chat Model in FlowiseAI?
The utility of the Chat Prompt Template and Chat Model in FlowiseAI is primarily seen in the construction of language translation chains. These components are part of the LLM chain and provide a framework for users to build language learning models.
How do conversational retrieval QA chains work in FlowiseAI?
Conversational retrieval QA chains in FlowiseAI operate in a way that allows for QnA retrieval. They assist in creating a conversational agent experience by utilizing chat-specific prompts and buffer memory.
FlowiseAI Free + from $35/mo
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