Neural Information Retrieval & Search

3 repos

Libraries and frameworks for building semantic search and information retrieval systems using neural networks and large language models. This cluster covers dense retrieval methods, ranking algorithms, and evaluation benchmarks for finding relevant documents or passages—core infrastructure for modern search applications, RAG (retrieval-augmented generation) systems, and LLM-based question answering. Central repositories include ColBERT-based tools, BEIR evaluation benchmarks, and retrieval-focused indexing systems.

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