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Recent Articles
Securing Multi-Tenant Agent Systems on Oracle AI Database
Last Updated: 25 September 2026
Key TakeawaysMulti-tenant agent systems need a hard tenant boundary on every durable record (memory, chunks, embeddings, tool logs), enforced by the database.Within a tena...
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Connecting AI Assistants and Agents to Oracle AI Database with MCP
Last Updated: 25 September 2026
Key TakeawaysModel Context Protocol (MCP) is an open standard for exposing tools and context to AI clients in a discoverable, typed way.Oracle offers multiple MCP paths to...
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How to Query Enterprise Data with Natural Language Using Select AI
Last Updated: 25 September 2026
Key TakeawaysSelect AI turns natural-language questions into SQL against your database using an LLM plus schema metadata you control.An AI profile binds the provider, cred...
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How to Build the Evals Layer of Your Agent Harness
Last Updated: 25 September 2026
Key TakeawaysA working agent is not yet a reliable agent. Reliability requires an evals layer that measures behavior against known expectations.The practical pieces that t...
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Understanding Tool Calling and Agent Harnesses
Last Updated: 25 September 2026
Key TakeawaysTool calling lets an LLM request external actions (SQL, search, APIs, memory writes) through a structured interface.An agent harness is the deterministic runt...
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What Is Context Engineering for AI Agents?
Last Updated: 25 September 2026
Key TakeawaysContext engineering is the discipline of designing everything that enters an LLM’s context window on every call: instructions, tools, retrieved knowledge, mem...
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Building an Agent Memory System with oracleagentmemory
Last Updated: 25 September 2026
Key TakeawaysOracle AI Agent Memory (oracleagentmemory) is a Python package that provides persistent agent memory on Oracle AI Database 26ai.Core objects: threads (convers...
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RAG vs Agent Memory: What Changes When Agents Need to Remember?
Last Updated: 25 September 2026
Key TakeawaysRAG helps a model look things up; agent memory helps an application remember and continue across turns and sessions.A larger context window is working memory,...
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The AI Agent Loop: How Agents Reason, Act, and Observe
Last Updated: 25 September 2026
Key TakeawaysAn AI agent loop is the repeating cycle of assembling context, reasoning with an LLM, acting (often via tools), observing the result, and deciding what to do ...
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Do AI Agents Still Need Vector Search? Agentic Retrieval vs Vector RAG
Last Updated: 24 September 2026
Key TakeawaysClassic Vector RAG pre-embeds content and retrieves by similarity; agentic retrieval lets the model decide which tools (search, SQL, file read, graph traversa...
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How to Store and Search Vector Embeddings in a Database with Python
Last Updated: 25 September 2026
Key TakeawaysVector embeddings turn text (or other data) into dense numeric vectors that capture semantic meaning for search, RAG, and recommendations.You can generate emb...
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What Is an AI Database?
Last Updated: 25 September 2026
Key TakeawaysAn AI database is a system that can store and query the data models modern AI workloads actually need: relational, JSON/document, vector, graph, text, and spa...
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HIPAA-Compliant eSignature Tools: What Healthcare SMBs Need in 2026
Last Updated: 18 September 2026
Healthcare small and medium-sized businesses (SMBs) need electronic signature tools that protect electronic protected health information (ePHI) while remaining affordable ...
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How to Edit a PDF Without Adobe Acrobat
Last Updated: 18 September 2026
Editing a PDF without Adobe Acrobat is straightforward with modern browser-based tools. You can change existing text (words, dates, names, prices), add images or annotatio...
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How to Convert PDF to Word Online (Without Losing Formatting)
Last Updated: 18 September 2026
Converting a PDF to Word turns a fixed-layout file into an editable one, so existing content (a contract, a resume, a report) can be revised without retyping it from scrat...
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