Tag

Model Re‑ranking

1 views collected around this technical thread.

DataFunSummit
DataFunSummit
Sep 4, 2024 · Artificial Intelligence

How Elasticsearch Powers Retrieval‑Augmented Generation (RAG) Applications

This article explains how Elasticsearch’s advanced search capabilities—including vector and semantic search, hardware acceleration, hybrid retrieval, model re‑ranking, multi‑vector support, and integrated security—enable robust RAG implementations and outlines future directions such as a new compute engine, stronger vector engines, and cloud‑native serverless deployment.

AIElasticsearchHybrid Search
0 likes · 9 min read
How Elasticsearch Powers Retrieval‑Augmented Generation (RAG) Applications