BestHub
Sign in
Tagged articles

Parallel Retrieval

3 articles · Page 1 of 1
DeepNoMind
DeepNoMind
Feb 22, 2026 · Artificial Intelligence

Parallel Hybrid Search Fusion for High‑Reliability Agentic AI

This article explains design patterns that boost the reliability of modern agentic AI systems, focusing on a parallel hybrid search fusion that runs vector and keyword retrievals concurrently, merges their results, and demonstrates through code and benchmarks that the combined approach yields more accurate and complete answers than either method alone.

Hybrid SearchLangChainLangGraph
0 likes · 11 min read
Parallel Hybrid Search Fusion for High‑Reliability Agentic AI
DeepNoMind
DeepNoMind
Feb 21, 2026 · Artificial Intelligence

Parallel Hybrid Search Fusion: Boosting Reliability in Agentic AI

This article demonstrates how parallel hybrid search—combining vector and keyword retrieval—enhances the reliability of agentic AI systems by delivering complete, high‑fidelity context compared with using either method alone.

Hybrid SearchLangChainLangGraph
0 likes · 12 min read
Parallel Hybrid Search Fusion: Boosting Reliability in Agentic AI
Tencent Cloud Developer
Tencent Cloud Developer
Nov 26, 2019 · Backend Development

TurboSearch: Tencent AI Lab's Next-Generation Large-Scale Search System

TurboSearch is Tencent AI Lab's next-generation large-scale search system, delivering distributed massive indexing, high-performance parallel retrieval, multi-granularity and multi-modal vector indexing, private Docker deployment, integrated NLP query analysis, extensible plugins, and robust operations for massive data and diverse search scenarios.

NLPParallel RetrievalTencent AI Lab
0 likes · 14 min read
TurboSearch: Tencent AI Lab's Next-Generation Large-Scale Search System