awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectServer MCPDespreCum realizăm clasamentulPresă
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 repository-uri

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

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • microsoft/ai-agents-for-beginnersAvatar microsoft

    microsoft/ai-agents-for-beginners

    67,369Vezi pe GitHub↗

    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
    Vezi pe GitHub↗67,369
  • feast-dev/feastAvatar feast-dev

    feast-dev/feast

    6,727Vezi pe GitHub↗

    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
    Vezi pe GitHub↗6,727
  • opencx-labs/copilotAvatar opencx-labs

    opencx-labs/copilot

    5,113Vezi pe GitHub↗

    Copilot este o platformă self-hosted de suport clienți care utilizează modele de limbaj mari (LLM) și baze de cunoștințe vectorizate pentru a automatiza asistența utilizatorilor. Sistemul constă într-un widget de chat AI încorporabil pentru integrarea pe site-uri web, un dashboard de gestionare containerizat și o bază de cunoștințe de tip vector database. Platforma include un orchestrator API care procesează specificații API structurate, permițând modelelor de limbaj să interacționeze cu endpoint-uri și operațiuni externe. Gestionează contextul specializat pentru răspunsuri prin indexarea definițiilor API și a documentației într-o bază de date vectorială. Infrastructura acoperă orchestrarea serviciilor containerizate pentru servere și background workers, procesarea asincronă bazată pe cozi și o interfață administrativă pentru monitorizarea interacțiunilor utilizatorilor în timp real. Sistemul gestionează, de asemenea, migrarea schemelor de baze de date și indexarea cunoștințelor.

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

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

Explorează sub-etichetele

  • 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.