Apr 17, 2025 · 7 min read · Terms Covered: RAG , Ingestion/ Indexing, Retrieval , Context Window , Chunking, Embeddings, Vector Embeddings, LLM Model , Vector databases, Meta-data , Prompt , LangChain, RAGTools What is RAG ❓ Retrieval-Augmented Generation Its basically, Retrie...
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Mar 26, 2025 · 4 min read · There are several public AI services into which you can load your own documents and ask questions about their contents. But what if the documents are confidential and should not be sent outside the company? And what if there are tens or hundreds of d...
Join discussionMar 17, 2025 · 2 min read · Introduction Vector search is at the heart of AI-driven applications, enabling semantic understanding and similarity-based retrieval. Today, we dive into implementing vector search in Oracle AI, covering key concepts, query execution, and real-world ...
Join discussionMar 15, 2025 · 3 min read · Introduction In our Day 1 discussion, we explored the fundamentals of AI Vector Search, understanding how it differs from traditional keyword-based search and how Oracle AI Vector Search enhances information retrieval. Today, we take a deeper dive in...
Join discussionMar 14, 2025 · 4 min read · Introduction The way we search for information has evolved significantly over the years. Traditional keyword-based search engines have served us well, but they struggle to capture the meaning and context of queries. Enter vector search—a revolutionar...
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