Your Cart
No items found.
Product is not available in this quantity.
🚀 Introducing TruthChecker 2.0 – The Next Evolution in AI Accuracy & Fact-Checking!
Leverage AI-powered Retrieval-Augmented Generation (RAG) to find, retrieve, and generate accurate, context-aware insights from enterprise data.
Book a DemoAs organizations look to RAG to unlock business insights, it’s difficult to know which large language model (LLM) to use for your business needs. Evaluating, comparing, and training LLMs is extremely time intensive. And development on the AI stack needed to deploy LLMs at scale—including data security, orchestration, and compute—can take years and often leads to model lock-in.
What’s more, running LLMs can be compute-intensive and cost prohibitive, and when unstructured data doesn’t have metadata that can improve data retrieval and response generation, response quality goes down and costs continue to go up.
Generates Enterprise-Class RAG Application Automatically Within Minutes
Graph and metadata synthesis for improved retrieval and response accuracy
Industry-first TruthChecker model detects, explains and corrects hallucinations
Elloe AutoRAG ensures your AI is informed, trustworthy, and enterprise-ready—powering smarter decision-making and reliable AI interactions. 🚀
Quickly build, deploy, and share AI at scale. Standardize workflows and improve efficiency allowing teams to launch production AI in minutes.
Eliminate duplicate infrastructure and licensing costs around teams using siloed custom solutions, and standardize and centralize AI for easy access.
Ensure you are building AI responsibly with integrated security, guardrails, and role-based access on what data and IP is exposed and used with AI.
Where developers build production computer vision & LLMs with a Full Stack AI platform.
Leverage cutting-edge Large Language Models (LLMs) to craft coherent and contextually rich content, connect image generation models to create detailed visuals, utilize image captioning models for nuanced, descriptive narratives, and employ speech generation to render lifelike voice outputs. Harness the automation of workflows to seamlessly interlink generative models, enabling effortless innovation and customization.
Set up a seamless server-side Retrieval Augmented Generation (RAG) experience in four lines of code with our Python SDK. We make it easy for you to choose your LLM, create, index, and store embeddings, and build your chat interface effortlessly, enabling your instant RAG solution. Start with our defaults and customize as you gain experience.
Use advanced classification models to meticulously categorize and analyze data, enabling swift and accurate decision-making. Employ detection models to identify and locate objects, people, and more within images and videos, providing rich, detailed insights. Harness segmentation models to delineate and differentiate between various elements within an image, facilitating nuanced understanding and analysis. If we don’t have a pre-trained model to suit your needs, easily train another using our many architectures built into the platform.
Manage your AI applications with Clarifai's intuitive platform. Upload inputs, be it images, text, or videos, and harness them as the foundation to train sophisticated models. Structure your uploaded data as datasets, enabling precise subsets for model training and testing. Define concepts to categorize the classes within detection, classification, and segmentation models. Employ versioning to create and compare multiple iterations of your model, fine-tuning them with varied data to achieve high performance.
Elloe ai was built to simplify how developers and
teams create, share, and run AI at scale