Introduction
Discover the boundless potential of Generative AI through AI-Horizon, an enterprise-grade alternative to well-known Generative AI SaaS offerings. AI-Horizon provides a resilient and safe platform for constructing and deploying enterprise-level Generative AI applications swiftly and securely.
No matter if you're crafting innovative AI applications, overseeing production SDKs, or delving into extensive AI data lakes, AI-Horizon stands as your reliable ally for enterprise Generative AI. Embrace the distinction with AI-Horizon and enhance your team's Generative AI proficiency today.
AI-Horizon presents a low-code agent framework adopting an agentic methodology for constructing Generative AI applications. Its comprehensive integrated agents include pre-configured RAG pipelines, enabling swift development and deployment within minutes.
Utilizing AI-Horizon, you can effortlessly create chatbots, conduct knowledge searches, perform data analysis, develop RAG-powered applications, and automate multi-agent workflows.
A significant advantage lies in the provision of locally deployable SDKs and private APIs, facilitating the operation of agents on your cloud infrastructure. This approach effectively addresses concerns regarding data privacy, compliance, and latency.
Who can benefit from AI-Horizon?
Developers: Embrace the framework's simplicity and accelerate the development of generative AI applications.
CTOs and CPOs: Seamlessly integrate generative AI features into your applications using local SDKs and private APIs, all managed by your in-house technical team. The learning curve to utilize AI-Horizon is incredibly brief.
CIOs: Introduce generative AI to your enterprise confidently, assured of 100% data privacy and security as AI-Horizon operates locally on your cloud infrastructure. Additionally, AI-Horizon's AI Management System (AIMS) simplifies agent management, event log monitoring, and AI studio utilization.
What can you build on AI-Horizon’s low-code agent framework?
AI-Horizon’s Pre-built Agents
Chat Agent: Cutting-edge chatbots featuring both short-term and long-term memory capabilities, RLHF (Reinforced Learning Human Feedback), a customizable system prompt, and smooth transitions between different Large Language Models (LLMs).
Knowledge Search: Introduce perplexity-style document and data search to your organization with AI-Horizon. AI-Horizon's document search capability can efficiently manage over 100,000 documents, ensuring precise information retrieval on every occasion. Additionally, you receive source citations and the option to retrieve the source file.
RAG Powered Apps: This is likely the most extensive RAG agent ever constructed. Simply by adjusting the parameters, you can select from up to 600 plus distinct RAG pipelines. Furthermore, you have the flexibility to integrate with any LLM, vector store, embedding model, reranker, or parser according to your preferences.
Q&A Bot: A simplified edition of AI-Horizon Chatbot, serving as a precise question-answering agent for empowering your help and FAQs section. Q&A Bots are also ideally suited for managing one-way conversations such as employee handbook searches, legal reference inquiries, and more.
Data Analysis: Develop a conversational analytics application for your data using AI_Horizon's Data Analysis agent in a Pythonic manner. The text query transforms into Python code, executing on a pandas dataframe and leveraging multiple ML libraries like Scikit-Learn, StatsModel, etc. This aids in conducting diverse analyses on your data, encompassing regression, correlation, clustering, time series, and much more.
Text-to-SQL: Wish to conduct an exploratory analysis on your database? Utilize AI-Horizon's Text-to-SQL agent to translate your text queries into SQL code capable of managing intricate joins, extracting information, and crafting insights and recommendations.
How to Use
All it takes is a handful of lines of code to construct and deploy your agents. Let's check an example.
- Install the AI-Horizon library and set the Open AI API key.
npm install <<package_name>>
export OPENAI_API_KEY="sk-"- Import the necessary agent module. Here we are choosing ChatBot module.
from <<package_name>> import ChatBot- Enable the chatbot with only a single line of code. The RAG pipeline operates seamlessly in the background.
my_chatbot = ChatBot.pdf_chat(input_files=["pdf_file_path"])- That’s it. Just query and start chatting with your chatbot.
response = my_chatbot.chat("Your query here")FAQs
What is AI-Horizon?
AI-Horizon stands as a low-code agent framework, embracing an agentic approach towards constructing generative AI applications. It boasts fully integrated agents furnished with pre-configured RAG pipelines, facilitating swift development and deployment of various AI-driven applications like chatbots, knowledge search tools, and workflow automation.
Who should utilize AI-Horizon?
AI-Horizon caters to Developers, CTOs, CPOs, and CIOs seeking simplicity, rapid deployment, and data privacy in crafting generative AI applications. It proves particularly advantageous for those aiming to seamlessly integrate AI features in-house with minimal learning curves.
What kinds of applications can AI-Horizon support?
AI-Horizon empowers users to create chatbots, knowledge retrieval systems, tools for data analysis, applications powered by RAG technology, and automated workflows involving multiple agents. Additionally, it facilitates advanced functionalities such as Q&A bots for handling FAQs and Text-to-SQL for database analysis.
What notable characteristics does AI-Horizon’s agent framework offer?
Among its standout features are locally deployable SDKs, private APIs, and an AI Management System (AIMS). By operating directly on the user's cloud, the platform ensures data privacy and adherence to compliance standards.
How does AI-Horizon safeguard data privacy and security?
AI-Horizon guarantees data privacy and security by facilitating deployment directly on the customer's cloud account. This approach empowers enterprises to retain control over their data while addressing compliance and latency concerns effectively.
How simple is it to deploy an agent via AI-Horizon?
Deploying an agent through AI-Horizon is uncomplicated, typically taking only a few minutes. Leveraging its low-code design, developers can establish agents with minimal coding effort, such as configuring a chatbot with just one line of code post-initial setup.
How does AI-Horizon fare against other generative AI app-building platforms?
AI-Horizon often enters comparisons with platforms such as Langchain, DSPy, and LlamaIndex. While these alternatives adopt building blocks, programmatic, and modular methodologies respectively, AI-Horizon distinguishes itself with an "agentic" approach, prioritizing fully integrated, ready-to-deploy agents.
What exactly is AI-Horizon Automaton?
AI-Horizon Automaton stands as a multi-agent automation platform embedded within AI-Horizon. Its primary focus lies in enhancing workflow efficiency and effectiveness. By facilitating the creation and management of multiple agents designated for specific tasks, AI-Horizon Automaton fosters operational stability and performance.
What is the process for deploying AI-Horizon?
To deploy AI-Horizon, download its SDKs available as docker files, which can then be deployed locally on AWS, Azure, and Google Cloud platforms. These docker containers undergo rigorous testing for auto-scaling capabilities, seamlessly scaling up from a few users to handling a million requests.