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...
Open-Source Data and Training Issues
As described in our previous post “Using Public Corpora to Build Your NER systems”, we are going to highlight areas where public datasets like...
Why Semantic Intelligence Is the Missing Link in Active Metadata and Data Governance
The Semantic Gap in Today’s Governance Platforms Forrester’s evaluations show that, despite strong advances in automation and lineage, many...
Bitext NAMER: Slashing Time and Costs in Automated Knowledge Graph Construction
The process of building Knowledge Graphs is essential for organizations seeking to organize, structure, and extract actionable insights from their...
Multilingual Named Entity Recognition for Knowledge Graphs: Supporting 70+ Languages with Precision
In the era of data-driven decision-making, Knowledge Graphs (KGs) have emerged as pivotal tools for structuring, organizing, and interconnecting...
How LLM Verticalization Reduces Time and Cost in GenAI-Based Solutions
Verticalizing AI21's Jamba 1.5 with Bitext Synthetic Text Efficiency and Benefits of Verticalizing LLMs – The Case of Jamba 1.5 Mini The...