jina-ai/llm-query-expansion
Query Expension for Better Query Embedding using LLMs
This project helps improve search results in information retrieval systems by making your search queries more comprehensive. You provide an initial search query, and it uses a large language model to automatically generate additional relevant keywords and phrases. These expanded queries then go into your search system to find more accurate and complete results. It's designed for anyone managing search applications, such as a knowledge base administrator or a content strategist.
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Use this if you need to boost the recall and precision of your search system by automatically enriching user queries with contextually relevant terms.
Not ideal if your search system already performs perfectly with simple keyword searches and never misses relevant documents.
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68
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Language
Python
License
Apache-2.0
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Last pushed
Feb 18, 2025
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