awesome-repositories.com
Blog
awesome-repositories.com

Découvrez les meilleurs dépôts open-source grâce à notre recherche par IA.

ExplorerRecherches sélectionnéesAlternatives open sourceLogiciels auto-hébergésBlogPlan du site
ProjetÀ proposNotre méthodologiePresseServeur MCP
Mentions légalesConfidentialitéConditions d'utilisation
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 dépôt

Awesome GitHub RepositoriesDocument Retrieval Methods

Methods for retrieving documents based on dynamic criteria, finder methods, and pagination.

Distinct from Dynamic Query Execution: Focuses on document retrieval patterns in search indices rather than runtime execution of recursive graph logic.

Explore 1 awesome GitHub repository matching data & databases · Document Retrieval Methods. Refine with filters or upvote what's useful.

Awesome Document Retrieval Methods GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • spring-projects/spring-data-elasticsearchAvatar de spring-projects

    spring-projects/spring-data-elasticsearch

    2,959Voir sur GitHub↗

    Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an object mapper, a repository abstraction, and a query DSL wrapper, providing both a standard and a reactive client for executing asynchronous search and persistence operations. The project distinguishes itself by automating data access through repository interfaces, which generate query logic based on method naming conventions. It enables the construction of complex search queries using a domain-specific language and supports advanced search capabilities such as vector similar

    Retrieves documents using dynamic finder methods and criteria with built-in support for sorting and pagination.

    Java
    Voir sur GitHub↗2,959
  1. Home
  2. Data & Databases
  3. Graph Querying
  4. Dynamic Query Execution
  5. Document Retrieval Methods