Tagged articles

LLM Retrieval

4 articles · Page 1 of 1

Jul 27, 2026 · Artificial Intelligence

Why RAG Misses Casual User Questions and How to Optimize Retrieval

Real users ask informal, incomplete questions that often miss the right documents, so the article classifies common failure types, explains three query‑optimization techniques—Query Rewrite, Multi‑Query, and HyDE—provides concrete prompts, code snippets, selection guidelines, evaluation metrics, and practical deployment pitfalls.

HyDELLM RetrievalMulti-Query

0 likes · 14 min read

Why RAG Misses Casual User Questions and How to Optimize Retrieval

AI Engineer Programming

Jun 19, 2026 · Artificial Intelligence

RAG Data Quality: Old Problems in a New Bottle

Even with meticulous cleaning, residual noise, redundant legal clauses, and approximate duplicates can degrade retrieval and generation in RAG systems, while privacy risks from embedding inversion and the need for continuous, metric‑driven governance make data quality the ultimate ceiling for performance.

Embedding InversionLLM RetrievalRAG

0 likes · 8 min read

RAG Data Quality: Old Problems in a New Bottle

PaperAgent

Feb 27, 2026 · Artificial Intelligence

How HyperRAG Uses N‑ary Hypergraphs to Overcome Binary KG Limitations

HyperRAG introduces an n‑ary hypergraph retrieval framework that replaces binary knowledge‑graph triples with hyperedges, addressing semantic fragmentation and path‑explosion while delivering superior accuracy and efficiency across multiple closed‑ and open‑domain QA benchmarks.

HyperRAGHypergraphKnowledge Graph

0 likes · 6 min read

How HyperRAG Uses N‑ary Hypergraphs to Overcome Binary KG Limitations

JD Retail Technology

Jun 4, 2024 · Databases

How to Deploy and Query JD’s Open‑Source Vearch Vector Database for LLM Retrieval

This article walks through the practical use of JD’s self‑developed Vearch vector database—covering cluster creation, space setup, data insertion, and both text and vector search—illustrating how it integrates with LangChain and OpenAI embeddings to enable retrieval‑augmented generation for large language models.

LLM RetrievalLangChainPython

0 likes · 16 min read

How to Deploy and Query JD’s Open‑Source Vearch Vector Database for LLM Retrieval