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otimização de LLM

  • An open-source retrieval-augmented AI agent framework combining vector search with large language models for context-aware knowledge Q&A.
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    What is Granite Retrieval Agent?
    Granite Retrieval Agent provides developers with a flexible platform to build retrieval-augmented generative AI agents that combine semantic search and large language models. Users can ingest documents from diverse sources, create vector embeddings, and configure Azure Cognitive Search indexes or alternative vector stores. When a query arrives, the agent retrieves the most relevant passages, constructs context windows, and calls LLM APIs for precise answers or summaries. It supports memory management, chain-of-thought orchestration, and custom plugins for pre- and post-processing. Deployable with Docker or directly via Python, Granite Retrieval Agent accelerates the creation of knowledge-driven chatbots, enterprise assistants, and Q&A systems with reduced hallucinations and enhanced factual accuracy.
    Granite Retrieval Agent Core Features
    • Custom document ingestion and indexing
    • Vector embedding and semantic search
    • Azure Cognitive Search integration
    • Large language model API orchestration
    • Context window construction and retrieval
    • Memory management for conversational state
    • Chain-of-thought and plugin architecture
    • Pre- and post-processing customization
  • API caching for efficient Generative AI app development.
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    What is PromptMule?
    PromptMule is a cloud-based API caching service tailored for Generative AI and LLM applications. By providing low-latency AI & LLM optimized caching, it significantly reduces API call costs and improves app performance. Its robust security measures ensure data protection while enabling efficient scaling. Developers can leverage PromptMule to enhance their GenAI apps, achieve faster response times, and lower operational expenses, making it an indispensable tool for modern app development.
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