The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
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Alquimia is a next-generation Agentic AI platform built to deploy, orchestrate, and scale intelligent agents and assistants across collaborative and enterprise environments
Alquimia AI Runtime is a powerful, event-driven platform that manages multi-agent LLM (Large Language Model) solutions in containerized environments, simulating human-like interactions based on seven core principles:
- Identity & Personality Consistency: consistent identity, tone and values
- Empathy & Emotional Response: interpret user emotions and respond empathetically
- Contextualization & Memory: use past interactions for relevant dialogue
- Fluency & Natural Dialogue: natural conversational flow
- Honesty & Limits: acknowledge gaps and set boundaries
- Adaptability & Flexibility: adjust style and content
- Ethics & Responsibility: ensure transparency, inclusivity, and trust
Alquimia is built on Knative, providing an event-driven, serverless runtime that dynamically triggers actions based on specific events. This approach allocates system resources only when needed, maximizing efficiency and eliminating idle processing costs.
This combination of serverless, event-driven architecture and Kubernetes auto-scaling makes Alquimia ideal for high-performance, enterprise AI deployments.
Alquimia follows a modular, loosely coupled architecture, allowing components to operate independently while ensuring smooth interoperability.
The platform seamlessly integrates with external APIs, databases, and AI services to enable dynamic, adaptable workflows. Businesses can connect to third-party AI models, analytics engines, and data services to enrich capabilities and facilitate interoperability across diverse enterprise ecosystems.
Works with major LLM providers, including OpenAI, Mistral, DeepSeek, and LLama, allowing businesses to leverage the best AI models for their specific needs while maintaining adaptability. The LLM is always aware of the latest information, leading to accurate and contextually relevant responses. The advanced memory and context awareness ensure the assistant delivers a seamless, human-like conversational experience while maintaining high efficiency and accuracy
Enhances AI reasoning with retrieval-augmented generation (RAG), enabling more precise responses, then supports vector stores like Qdrant, Chroma, and ElasticSearch for efficient data retrieval.
Alquimia enables enterprise-wide omnichannel communication, allowing users to interact with the AI assistant across multiple platforms:
- WhatsApp: real-time customer engagement via conversational AI.
- Slack: integrated into workplace tools for quick AI-driven insights.
- Email: automated responses, ticket updates, and intelligent parsing.
- Web Chat & Custom Channels: unified support across web and mobile.
Designed for Openshift and Kubernetes, the platform offers lightweight deployment, high scalability, and native integrations with modern AI ecosystems, including Openshift AI and LangChain. It supports a diverse range of LLM providers, vector stores, and retrieval-augmented generation (RAG) strategies, making it an ideal solution for enterprises and developers building AI-powered applications.
Alquimia ensures enterprise-grade security, compliance, and transparency through:
- Strict access controls & authentication: limiting AI interactions to authorized users.
- Encryption of sensitive data: securing user interactions and stored records.
- Real-time logging & tracing: providing full visibility for transparency and auditability.
- Bias detection tools (Trusty AI, SHAP values): ensuring fairness in AI responses.
- Identity consistency & transparency: preventing misleading or fabricated outputs.
Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.
Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.
Red Hat OpenShift 4.11+