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Awesome GitHub RepositoriesRetrieval Evaluation Frameworks
Tools for measuring the accuracy and relevance of retrieved data in search and generation pipelines.
Distinguishing note: Focuses specifically on the quality of information retrieval in RAG systems, distinct from general software unit or integration testing.
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Awesome Retrieval Evaluation Frameworks GitHub Repositories
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- run-llama/llama_index
run-llama/llama_index
47,075View on GitHubLlamaIndex is a comprehensive development framework designed to connect private or external data sources to large language models. It functions as a data-centric toolkit that enables the construction of retrieval-augmented generation systems, allowing developers to build applications that provide context-aware answers based on specific organizational information. The project distinguishes itself through a robust agentic orchestration engine that supports the creation of autonomous agents capable of multi-step reasoning, memory management, and complex tool execution. Beyond simple retrieval, i
Provides specialized metrics and evaluation pipelines to assess the relevance and accuracy of retrieved documents in language model applications.
Pythonagentsapplicationdata
