Oracle AI Database 26aiをDockerやPodmanで動かしてみる
https://qiita.com/shakiyam/items/01b80aa0d6307c7cd8e2?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
Oracle AI Database 26aiをDockerやPodmanで動かしてみる
https://qiita.com/shakiyam/items/01b80aa0d6307c7cd8e2?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
やっとできる!Oracle 23aiで解禁された便利SQL機能まとめ
https://qiita.com/take-yoda/items/2f6eeda330b7e7c53de5?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
Just release uc-local-apex-dev v25.2. #orclAPEX 24.2 and 23ai containerized with powerful scripts.
- Upgraded DB to 23.7
- Script to disable archive logging
- Script to test app installs (incl. supporting objects), will output any errors
Oracle Autonomous Database is "an easy-to-use, fully autonomous database that scales elastically and delivers fast query performance. As a service, Autonomous Database does not require database administration." You can use Oracle Autonomous Database in Oracle Cloud. But if you don't have that, or you prefer to test it on-premise, using
Oracle 23ai is the latest Oracle database with Long Term Support (LTS). Oracle 21c was an Innovation Release, what means that it's primarily made for testing. And 19c was the LTS release before 23ai. 23ai means year 2023 + artificial intelligence. Unfortunately, we're waiting for 23ai since ages. It was released
My script-addiction got me again:
One more try-this-out-script turned into a blog..
(I’ll stop now, plenty more ideas but too much effot to remove typos).
@oracleace
#SQL
#database
#oracle23ai
https://simpleoracledba.blogspot.com/2024/12/oracle-23ai-domains-enums-and-where.html
Could not resist trying out some (simple!) SQL in #Oracle23ai. Using DOMAIN types for LoV. Was Interesting. The resulting test/tweak/demo script is at the end of the blogpost.
#Oracle
#Oracle23ai
https://simpleoracledba.blogspot.com/2024/12/oracle-23ai-domains-enums-use-cases.html
🔍 LightRAG: Comprehensive RAG System for Enhanced Information Processing #AI
• 🎯 Core Features: Implements four search modes (naive, local, global, hybrid) for context-aware information retrieval and knowledge processing #RAG
• 💾 Storage Options: Integrates with #Neo4j and #Oracle23ai for scalable knowledge graph management and data storage #Database
• 🔄 Model Support: Functions with #OpenAI, #HuggingFace, and #Ollama models for flexible deployment scenarios #LLM
• 🛠️ Development Tools: Features GUI interface, REST API server, and evaluation framework for system testing #DevTools
• 📈 Evaluation Results: Shows improved performance vs. traditional RAG systems in comprehensiveness, diversity & knowledge empowerment #Performance