1 dépôt
Awesome GitHub RepositoriesRetrieval Systems
Frameworks and components for fetching relevant context from data sources to support language model operations.
Distinguishing note: Focuses on the deployment and orchestration of retrieval pipelines rather than generic data storage.
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Awesome Retrieval Systems GitHub Repositories
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- microsoft/graphrag
microsoft/graphrag
33,792Voir sur GitHubGraphRAG is a data processing pipeline and retrieval engine designed to transform unstructured text into interconnected knowledge graphs. By utilizing language models to extract entities and relationships, it builds structured representations of information that enable context-aware retrieval for downstream applications. The system distinguishes itself through hierarchical graph clustering and large-scale data synthesis, which organize massive document corpora into multi-level structures. This approach allows for both vector-based semantic searches and graph-based traversals, providing a comp
Retrieves context for language models by scanning processed information using global, local, or drift modes.
Pythongptgpt-4gpt4
