Overview

Stack AI is a no-code tool that allows teams to quickly and efficiently build and deploy custom Large Language Models (LLMs) including ChatGPT into their products or teams.

The platform enables users to create various applications such as chatbots, document processing, database question answering, and content creation. Stack AI’s intuitive graphical interface enables developers to easily connect LLMs with vector databases, tools, and data loaders.

The platform comes with a diverse library of templates for common workflows, making it easy to jumpstart projects without needing to write any code. Stack AI offers the flexibility to experiment with multiple prompts and LLM architectures, allowing for rapid iteration and fine-tuning to align with specific product needs.

The tool is trusted by leading companies such as JustPaid, Smartasset, and Yummy and is backed by renowned visionaries such as Soma Capital and Y Combinator.

Stack AI enables users to create production-ready applications that are fine-tuned for specific use cases and can be quickly delivered to users as APIs.

With Stack AI, users can easily load data from various sources, integrate with any API, run fine-tuning jobs, and deliver AI workflows with minimal latency.

Security is also prioritized, and Stack AI ensures the data processed and stored is secure. Pricing options are available, and users have the option to use their own API keys.

Stack AI is an efficient and user-friendly tool for teams looking to incorporate AI workflows into their products without needing to write any code.

Releases

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Initial release

January 19, 2023

Initial release of Stack AI.

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Pricing

Pricing model

Freemium

Paid options from

$139/month

Billing frequency

Monthly

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Apps Stack AI

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2,440

5.0(4)2

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Reviews

5.0

Average from 4 ratings.

★ ★ ★ ★ ★ 4

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Comments(2)

Gabriel Rosinol

🙏 5 karma

May 26, 2024

@ initial release

Rated it

Stack ai is by far the best tool to automate any kind of workflows - can't recommend it enough

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Lang Chain

🙏 6 karma

Oct 5, 2023

@ initial release

Rated it

It's just crazy how much you can automate with Stack AI given how young they are... insane progress. Keep up the good work guys!

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Pros and Cons

Pros

Rapid creation of bespoke apps

Efficient custom LLMs deployment

Multiple applications creation

Easy LLMs and database connection

Workflow templates library

Allows experimentation with prompts

Fine-tuning for product Specific needs

Trusted by leading companies

Quick API delivery

Supports data loading from various sources

API Integration

Runs fine-tuning jobs

Prioritizes security

Flexible pricing options

Usage of own API keys

Enables deployment without code

Supports multiple LLM architectures

Product specific LLM fine-tuning

Data can be loaded from files, websites, databases

Supports Google Search and WolframAlpha

Optimal LLM creation

Applications creation via drag and drop

View 17 more pros

Cons

Limited template library

Relies heavily on LLMs

No explicit offline support

Latency may vary

No explicit multi-language support

Lack of dedicated mobile apps

No direct email integration

Insufficient documentation provided

View 3 more cons

Q&A

What is Stack AI?

Stack AI is a no-code tool specializing in the rapid creation of bespoke apps. It empowers teams to build and deploy custom Large Language Models like ChatGPT into products or services quickly and efficiently.

What are some of the applications that can be created using Stack AI?

With Stack AI, users can create chatbots, applications for document processing, database question answering, and content creation. These applications can be custom tailored to specific use cases and delivered as APIs.

How can I connect Large Language Models (LLMs) with Stack AI?

Stack AI provides an intuitive graphical interface to seamlessly connect Large Language Models with vector databases, tools, and data loaders. This provides easy interoperability and integration capabilities for developers.

Does Stack AI offer templates for common workflows? If so, which ones?

Yes, Stack AI offers diverse templates for common workflows. This makes it easier for developers to kickstart projects without the need to write any code. The templates can facilitate developing chatbot functionalities, document question answering, and more.

What does it mean that Stack AI allows for rapid iteration and fine-tuning?

Stack AI's allowance for rapid iteration and fine-tuning refers to the flexibility for users to experiment with different prompts and Large Language Model architectures. This enables users to quickly iterate, fine-tune, and align products as per specific needs.

Can Stack AI be trusted with data security?

Yes, data security is a primary concern for Stack AI. The platform ensures the data processed and stored remains secure, providing trustworthy handling of all data.

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What top companies use Stack AI?

Stack AI is trusted by several leading companies including JustPaid, Smartasset, and Yummy.

Who backs the development of Stack AI?

Stack AI is backed by renowned visionaries and leading investment entities, such as Soma Capital and Y Combinator.

In what format does Stack AI deliver AI workflows?

Stack AI delivers AI workflows as APIs. This makes them quickly accessible and easily integrated into different environments.

What sources can Stack AI load data from?

Stack AI can load data from various sources, including files, websites, and different types of databases like Notion, Airtable, or Postgres.

Can Stack AI integrate with any API?

Yes, Stack AI offers seamless integration with any API. This provides extensive connectivity and interoperability capabilities for different workflows and processes.

How does Stack AI handle fine-tuning jobs?

Stack AI handles fine-tuning jobs by providing the flexibility to collect data and perform the fine-tuning process to create the optimal Large Language Models that adhere to specific product needs.

What is the latency like with Stack AI-delivered AI workflows?

The latency with Stack AI-delivered AI workflows is minimal. Stack AI hosts all workflows as APIs, ensuring users can access the AI capabilities instantly.

What pricing options are available for Stack AI?

Stack AI provides different pricing options. However, specifics about the pricing options are not explicitly mentioned on their website.

Is it possible to use my own API keys with Stack AI?

Yes, it's possible to use your own API keys with Stack AI. The platform provides this flexibility to meet diverse user requirements.

What benefits do developers get from using Stack AI?

Developers can leverage Stack AI to automate various tasks such as customer support, document processing, sales leads qualification, and extensive data library searches. It offers a quick, efficient, and no-code solution for creating and deploying Large Language Models.

How intuitive is the graphical interface of Stack AI?

Stack AI's graphical interface is designed to be intuitive, making it simpler for developers to connect Large Language Models with vector databases, tools, and data loaders.

How can I leverage Stack AI to automate customer support and other tasks?

Users can use Stack AI to automate tasks like customer support by creating chatbots that can interact with users, answer queries, and complete tasks using internal data and APIs.

How can Stack AI be used to extract insights from documents?

Stack AI can be used to extract insights from documents, provide summaries, and answer questions regardless of the document length. This feature can be particularly useful for document processing applications.

How quick is the process of creating applications with Stack AI?

The process of creating applications with Stack AI is designed to be quick and efficient. Developers can construct AI applications within minutes by dragging, dropping, and connecting components.

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