Essential Guide to Databases
Explore the fundamental concepts of databases with our comprehensive collection of articles.
What is Model Context Protocol and Why It Matters for AI Integration
Model Context Protocol enables secure, scalable AI integration by standardizing connections between AI models and business tools for efficient workflows.
How TiDB Empowers AI Application Development in 2025
TiDB support AI applications with hybrid search, real-time analytics, and seamless integration, enabling developers to build scalable, intelligent solutions.
Understanding AI-Ready Data Platforms and Their Impact in 2025
An AI-Ready Data Platform organizes, secures, and prepares data for reliable AI, driving better decisions and business results in 2025.
How TiDB Solves AI-native Database Challenges for Unified Workloads in 2025
TiDB solves AI-native database challenges with unified workloads, hybrid search, and real-time analytics, ensuring scalability and security for 2025 applications.
What is an AI-native Database and How Does it Work
An AI-native database manages structured and unstructured data, enabling real-time AI workloads with built-in vector search and model integration.
Full-Text Search (FTS) Database: The Complete Guide for Modern Applications
Full-Text Search Databases: Beyond Basic Matching Finding relevant information in vast data oceans challenges many. Simple keyword matching no longer suffices for modern applications’ nuanced search demands. This is where Full-Text Search (FTS) databasesexcel. They offer capabilities far beyond basic string matching. FTS goes beyond keyword search. It enables applications to search text fields within relational […]
Monitoring and Troubleshooting TiDB Full-Text Search
Introduction Efficient Full-Text Search (FTS) on large datasets is vital for many applications. For TiDB users, maintaining optimal FTS performance requires diligent monitoring and troubleshooting. Robust FTS implementations demand vigilant oversight and effective diagnostic practices. These ensure queries return timely, relevant results. However, diagnosing FTS issues in a distributed database environment can be complex without the right […]
Scaling Full-Text Search in Distributed Databases like TiDB
Effortless FTS Scaling: TiDB’s Distributed Advantage Scaling Full-Text Search (FTS) often challenges growing applications. Expanding data volumes and query loads quickly bottleneck traditional FTS solutions. Monolithic databases hit hardware limits and single points of failure with vertical scaling. Standalone search engines like Elasticsearch introduce data duplication, manual sharding, and operational overhead. These approaches complicate growth. TiDB, a […]
Multi-Language Full-Text Search with TiDB
Introduction Applications rarely cater to a single language in today’s interconnected world. As such, users demand search functionalities that can deliver relevant results in their preferred languages. The complexity of implementing a Full-Text Search (FTS) system that accommodates various languages is often overwhelming for traditional systems. This complexity arises from differences in linguistic characteristics such […]
When to Use TiDB for Full-Text Search (and when to consider alternatives)
Introduction Choosing the right Full-Text Search (FTS) solution is a critical decision in today’s technology landscape. As a solution architect or technical decision-maker, you’re likely weighing various options to ensure optimal performance and functionality for your applications. Enter TiDB, a powerful hybrid transactional and analytical processing (HTAP) database that’s increasingly gaining attention for its native […]
Enhancing AI-Powered Search with TiDB’s FTS Capabilities
Introduction Artificial intelligence (AI) has transformed search capabilities by enabling computers to comprehend and respond to complex queries with human-like intelligence. However, as developers and data scientists know, purely semantic search models, which rely on understanding meaning rather than precise data, often fall short of delivering exact factual responses. This is particularly challenging when AI […]
Migrating from Traditional FTS Solutions to TiDB
Introduction Struggling with the complexity and inconsistencies of your current Full-Text Search (FTS) solution? You’re not alone. Many organizations employing traditional FTS systems, such as Elasticsearch or Solr, encounter operational headaches and data inconsistencies. These challenges often necessitate additional overhead for managing separate search clusters, leading to increased costs and complications. This guide is here […]