Bitext Linguistic Analyzer Improves Elasticsearch’s English Search Quality
Want to see the practical retrieval examples? Jump to the ten real English retrieval examples. Executive Summary Our earlier German MIRACL benchmark...
Hybrid Search Is the New Baseline: Better Lexical Search Is the Next Advantage
Vector search, also known as semantic search, has transformed enterprise search in the past few years by retrieving information according to meaning...
Bitext Linguistic Analyzer beats every Elasticsearch Configuration on German Search Quality
Executive Summary In a search benchmark for German, Bitext Linguistic Analysis SDK returned more relevant results and missed fewer useful passages...
Stemming kills AI Accuracy: Why German Search Needs Lemmatization
Stemming kills AI Accuracy: Why German Search Needs Lemmatization Search systems have relied on stemming for decades. The reason is simple: stemming...
Some of your RAG-related issues have an easy & quick solution: decompounding
Most teams working with Elasticsearch, OpenSearch or RAG pipelines focus on ranking, embeddings or model quality when trying to improve relevance....
Some of your RAG-related issues have an easy & quick solution: lemmatization
Some RAG issues have a simpler fix than people think: better text normalization. One common culprit is stemming. Stemming is a blunt, error-prone...
The Hidden Signal in Millions of News Articles That Reveals How Global Narratives Form
Every day, millions of news articles are published about technology, business and geopolitics. But there is a signal hidden inside them that most...
Why LLMs Are the Wrong Tool for Enterprise-Grade Entity Extraction
Entity Extraction Is Infrastructure Task, Not a Generative Task Large Language Models are powerful systems for language generation and reasoning....
German & Korean Retrieval Fails Without Proper Decompounding
Why decompounding is a must-have non-optional requirement for e-commerce search, vector search, and RAG Search systems that work well in English,...
Lemmatization vs Stemming
Almost all of us use a search engine in our daily work. It has become a key tool to get things done. However, as the amount of data grows...
The Moment to Pay Attention to Hybrid NLP (Symbolic + ML)
Problem. There’s broad consensus today: LLMs are phenomenal personal productivity tools — they draft, summarize, and assist effortlessly.But there’s...
Using Public Corpora to Build Your NER systems
Rationale. NER tools are at the heart of how the scientific community is solving LLM issues using GraphRAG and NodeRAG architectures. LLMs need...