A modular Python-based search engine pipeline that fetches live web data, extracts both visible and hidden context using advanced NLP techniques, and semantically indexes content for enhanced retrieval. Perfect for powering LLMs and AI agents with up-to-date, relevant context.
SEARCHD enhances the existing information retrieval mechanism and reduces the latency of LLM-based retrievers. This framework generates a partially correct document using a LLM which is clubbed along with the original query for context retrieval.
Repository containing the projects of the EPFL course "Modern natural language processing".
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