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3 Repos

Awesome GitHub RepositoriesContext Pre-loading

Injection of relevant background information into the prompt prior to query processing.

Distinct from On-Demand Context Loading: Distinct from on-demand loading: focuses on the proactive injection of context to ensure informed initial responses.

Explore 3 awesome GitHub repositories matching software engineering & architecture · Context Pre-loading. Refine with filters or upvote what's useful.

Awesome Context Pre-loading GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • microsoft/ai-agents-for-beginnersAvatar von microsoft

    microsoft/ai-agents-for-beginners

    67,369Auf GitHub ansehen↗

    This project is a structured educational resource and technical guide for designing and implementing autonomous systems using large language models. It provides a comprehensive curriculum and code samples focused on agentic design patterns, autonomous development, and the creation of systems capable of planning and executing multi-step tasks. The resource details the implementation of agentic retrieval-augmented generation, where models autonomously plan and refine data searches. It covers a wide array of orchestrators and design patterns, including metacognitive reflection for self-correctin

    Injects relevant background information into the model before processing a query to ensure informed responses.

    Jupyter Notebookagentic-aiagentic-frameworkagentic-rag
    Auf GitHub ansehen↗67,369
  • feast-dev/feastAvatar von feast-dev

    feast-dev/feast

    6,727Auf GitHub ansehen↗

    Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

    Pre-loads heavy resources like models and lookup tables at server startup to reduce per-request overhead.

    Pythonbig-datadata-engineeringdata-quality
    Auf GitHub ansehen↗6,727
  • opencx-labs/copilotAvatar von opencx-labs

    opencx-labs/copilot

    5,113Auf GitHub ansehen↗

    Copilot ist eine selbst gehostete Kundensupport-Plattform, die Large Language Models und vektorisierte Wissensdatenbanken verwendet, um die Benutzerunterstützung zu automatisieren. Das System besteht aus einem einbettbaren KI-Chat-Widget für die Website-Integration, einem containerisierten Management-Dashboard und einer Vektor-Datenbank als Wissensbasis. Die Plattform enthält einen API-Orchestrator, der strukturierte API-Spezifikationen verarbeitet und es Sprachmodellen ermöglicht, mit externen Endpunkten und Operationen zu interagieren. Sie verwaltet spezialisierten Kontext für Antworten durch die Indexierung von API-Definitionen und Dokumentationen innerhalb einer Vektor-Datenbank. Die Infrastruktur deckt die containerisierte Service-Orchestrierung für Server und Hintergrund-Worker, asynchrone Queue-basierte Verarbeitung sowie ein administratives Interface zur Überwachung von Echtzeit-Benutzerinteraktionen ab. Das System handhabt zudem Datenbank-Schema-Migrationen und Wissensindexierung.

    Injects structured API definitions as context into the language model to enable automated interaction with external operations.

    TypeScriptai-copilotcopilotllm
    Auf GitHub ansehen↗5,113
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  2. Software Engineering & Architecture
  3. Project Context Managers
  4. On-Demand Context Loading
  5. Context Pre-loading

Unter-Tags erkunden

  • API Specification ContextsDynamic injection of API definition data into language model prompts to enable tool use and endpoint interaction. **Distinct from Context Pre-loading:** Focuses specifically on API specifications as the context source, rather than general background information.
  • Model and Lookup Table Pre-LoadingLoads models or lookup tables once at server start so on-demand transforms pay only inference cost per request. **Distinct from Context Pre-loading:** Distinct from Context Pre-loading: focuses on loading ML models and lookup tables for feature computation, not prompt context injection.