Learn Hybrid Search with Vertex AI Vector Search
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135 дней – 1 8213:00Опубликовано 21 ноября 2024, 5:00
Notebook: Combining Semantic & Keyword Search: A Hybrid Search Tutorial with Vertex AI Vector Search → goo.gle/3YXW3zp
Document: About hybrid search → goo.gle/40R9vrr
Semantic search with vector search or vector databases is a popular choice for retrieval in Retrieval Augmented Generation (RAG). However, its weak point is that semantic search can only find what it already knows and can't handle things like product numbers, brand-new product names, or internal company codenames. The new hybrid search support in Vertex AI Vector Search combines keyword search with semantic search to solve this issue, providing higher search quality for your RAG systems.
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Document: About hybrid search → goo.gle/40R9vrr
Semantic search with vector search or vector databases is a popular choice for retrieval in Retrieval Augmented Generation (RAG). However, its weak point is that semantic search can only find what it already knows and can't handle things like product numbers, brand-new product names, or internal company codenames. The new hybrid search support in Vertex AI Vector Search combines keyword search with semantic search to solve this issue, providing higher search quality for your RAG systems.
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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