Solr 9.x: New Features and Evolution
Explore Solr 9.x features: vector search, security improvements, cloud capabilities, and the evolving Solr ecosystem.
Latest Articles
Solr for AI: Vector Search, RAG Pipelines, and Semantic Search 2026
Comprehensive guide to using Apache Solr for AI applications including vector similarity search, RAG pipelines, embedding storage, and hybrid search capabilities.
Solr in Production: E-commerce, Enterprise Search
Discover Solr production use cases: e-commerce search, enterprise search, site search, and document retrieval with practical implementations.
Solr Internals: Lucene, Indexing, and Search
Deep dive into Solr architecture. Understand Apache Lucene, inverted index, segment merging, query execution, and caching internals.
Solr Operations: Collection Management and Performance
Learn Solr administration: collection management, backup strategies, monitoring, security, and production performance tuning.
SQLite for AI: Vector Search, RAG Pipelines, and Local AI Applications
Learn how to use SQLite for AI applications. Build vector search, RAG pipelines, and local AI solutions with sqlite-vec and embeddings.
SQLite Internals: Architecture, B-Tree, and Query Processing
Deep dive into SQLite internals. Understand B-Tree storage, WAL mode mechanics, query processing pipeline, and MVCC implementation.
SQLite Operations: Backup, Performance Tuning, and Production Deployment
Master SQLite operations including backup strategies, performance optimization, WAL mode configuration, and production deployment best practices.
SQLite Trends 2026-2026: New Features, Vector Search, and Emerging Use Cases
Explore the latest SQLite developments in 2026-2026. Learn about new features, vector search capabilities, enhanced JSON support, and emerging use cases.
SQLite Use Cases: Real-World Applications and Production Patterns
Explore practical SQLite use cases including mobile apps, IoT, caching, analytics, and AI applications. Learn production patterns and implementation strategies.