The presentation aimed to describe the first results of the Chat-EUR-Lex project. Chat-EUR-Lex was funded under the NGI Search initiative. Its prototype combined Retrieval Augmented Generation (RAG) with a semantic search engine and large language models (LLMs) to ensure accurate responses, complete with references to legal documents.
Chat-Based LLMs and Retrieval Augmented Generation (RAG) for access to EU legal acts
Manola Cherubini
;Francesco Romano;
2024
Abstract
The presentation aimed to describe the first results of the Chat-EUR-Lex project. Chat-EUR-Lex was funded under the NGI Search initiative. Its prototype combined Retrieval Augmented Generation (RAG) with a semantic search engine and large language models (LLMs) to ensure accurate responses, complete with references to legal documents.File in questo prodotto:
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Presentation GIL PO 18-04-2024 Chat-EUR-Lex_finalInviata.pdf
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