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Hybrid Search

Building a RAG Pipeline on Alibaba Cloud with Vector Search

This article introduces building a production-ready RAG pipeline on Alibaba Cloud using Hologres for vector search and Model Studio for embeddings and LLM inference.

Lindorm Tops VectorDBBench Performance, Defining New Heights for Vector Retrieval

Lindorm tops VectorDBBench benchmarks with record-breaking vector retrieval performance and hybrid search capabilities.

The Enterprise RAG Architecture Guide: Building Production-Grade Retrieval-Augmented Generation Systems

Hologres simplifies enterprise RAG by unifying OLAP, vector, and full-text search, enabling scalable hybrid retrieval, real-time updates, lower costs, and easier production deployment.

The Complete Guide to Hybrid Search: The Perfect Blend of Full-Text and Vector Search

Hybrid search combines full-text (lexical) and vector (semantic) search to deliver results that are both precise and intent-aware.

Beyond Silos: How Unified Multimodal Analytics Is Redefining Data Infrastructure for the AI Era

Hologres 4.0 introduces HSAP 2.0—a unified multimodal analytics platform that consolidates OLAP, vector search, full-text retrieval, and AI processing into a single engine.

From Enterprise RAG to AI Assistant—Alibaba Cloud Elasticsearch Technology Practice in AI Search

Alibaba Cloud Elasticsearch leverages advanced AI technologies like RAG and vector retrieval to enhance search capabilities.

Elasticsearch 8: How to Use Hybrid Search with RAG Technology

Dive into Elasticsearch 8’s revolutionary hybrid search capabilities powered by RAG (Retrieval-Augmented Generation) technology, enhancing your data e.