Semantic Search Blog
Exploring the latest advancements in semantic search technology.
Introduction to Semantic Search
This blog post will delve into the fundamental concepts of semantic search, highlighting key techniques and their impact.
We'll cover techniques like entity recognition, knowledge graph integration, and natural language understanding.
The benefits of semantic search include improved accuracy, better user experience, and the ability to answer complex questions.
Understanding Entity Recognition
Entity recognition is the process of identifying and extracting meaningful entities (like names, dates, locations) from text. It's a critical step in many semantic search applications.
We'll explore different entity types and how to apply techniques to enhance the accuracy of your system.
The Role of Knowledge Graphs
Knowledge graphs are structured representations of information that link entities and concepts, creating a network of knowledge.
They are powerful tools for semantic search because they allow the system to understand relationships between entities.
Natural Language Understanding (NLU)
NLU is the foundation of semantic search. It involves understanding the intent behind the user's query, even with variations in language.
Techniques like sentiment analysis and coreference resolution are vital.