Comprehensive 내결함성 Tools for Every Need

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내결함성

  • rag-services is an open-source microservices framework enabling scalable retrieval-augmented generation pipelines with vector storage, LLM inference, and orchestration.
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    What is rag-services?
    rag-services is an extensible platform that breaks down RAG pipelines into discrete microservices. It offers a document store service, a vector index service, an embedder service, multiple LLM inference services, and an orchestrator service to coordinate workflows. Each component exposes REST APIs, allowing you to mix and match databases and model providers. With Docker and Docker Compose support, you can deploy locally or in Kubernetes clusters. The framework enables scalable, fault-tolerant RAG solutions for chatbots, knowledge bases, and automated document Q&A.
  • ROSA is NASA JPL’s open-source autonomy framework that uses AI planning to generate and execute rover command sequences autonomously.
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    What is ROSA (Rover Sequencing & Autonomy)?
    ROSA (Rover Sequencing & Autonomy) is a comprehensive autonomy framework developed by NASA’s Jet Propulsion Laboratory for space robotics. It features a modular AI planner, constraint-aware scheduler, and built-in simulators that produce validated command sequences for rover operations. Users can define mission objectives, resource constraints, and safety rules; ROSA will generate optimal execution plans, detect conflicts, and support rapid replanning in response to unexpected events. Its plugin architecture allows integration with custom sensors, actuators, and telemetry analysis tools, facilitating end-to-end mission autonomy for planetary exploration.
  • A Java-based framework for designing, deploying, and managing autonomous multi-agent systems with communication, coordination, and dynamic behavior modeling.
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    What is Agent-Oriented Architecture?
    Agent-Oriented Architecture (AOA) is a robust framework that equips developers with tools to build and maintain intelligent multi-agent systems. Agents encapsulate state, behaviors, and interaction patterns, communicating via an asynchronous message bus. AOA includes modules for agent registration, discovery, and matchmaking, enabling dynamic service composition. Behavior modeling supports finite-state machines, goal-driven planning, and event-driven triggers. The framework handles agent lifecycle events like creation, suspension, migration, and termination. Built-in monitoring and logging facilitate performance tuning and debugging. AOA’s pluggable transport layer supports TCP, HTTP, and custom protocols, making it adaptable for on-premise, cloud, or edge deployments. Integration with popular libraries ensures seamless data processing and AI model integration.
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