Merge branch 'main' into dependabot/pip/ai/gen-ai-agents/custom_rag_agent/tornado-6.5

AlexanderHodicke · web-flow · commit 6b957927e190 · 2025-09-01T14:05:58.000+02:00
diff --git a/ai/README.md b/ai/README.md
@@ -1,23 +1,26 @@
-# AI Services
+# OCI Generative AI and AI Services
  
-Oracle Cloud Infrastructure (OCI) AI Services, Generative AI Services and Generative AI Agents are a collection of services with prebuilt machine learning and Generative AI models that make it easy for developers to apply AI to applications and business processes. The models can be custom-trained (or fine-tuned) for more accurate business results. Teams within an organization can reuse the models, datasets, and data labels across services. OCI AI makes it possible for developers to easily add AI to applications without slowing down application development.
+Oracle Cloud Infrastructure (OCI) [Generative AI Service](https://docs.oracle.com/en-us/iaas/Content/generative-ai/overview.htm), [Generative AI Agents](https://docs.oracle.com/en-us/iaas/Content/generative-ai-agents/overview.htm) and [AI Services](https://www.oracle.com/uk/artificial-intelligence/ai-services/) are a collection of services with prebuilt machine learning and Generative AI models that make it easy for developers to apply AI to applications and business processes. The models can be custom-trained (or fine-tuned) for more accurate business results. Teams within an organization can reuse the models, datasets, and data labels across services. OCI AI makes it possible for developers to easily add AI to applications without slowing down application development.
 
-Reviewed: 03.06.2025
+Reviewed: 21.08.2025
 
 
 # Useful Links
 
 ## Examples and hands-on workshops
 - [AI Solutions Hub](https://www.oracle.com/artificial-intelligence/solutions/)
 - [Oracle LiveLabs](https://apexapps.oracle.com/pls/apex/r/dbpm/livelabs/home)
+- [This repository](https://github.com/oracle-devrel/technology-engineering/tree/main/ai) and [Oracle-samples repository](https://github.com/oracle-samples/oci-data-science-ai-samples)
+- [Oracle Developer Coaching channel on Youtube](https://www.youtube.com/@oracledevs)
 
 ## Discover Oracle AI
-- [Oracle AI Services on Oracle.com](https://www.oracle.com/artificial-intelligence/ai-services/)
+- [Oracle AI on Oracle.com](https://www.oracle.com/artificial-intelligence/)
 - [Oracle Generative AI on Oracle.com](https://www.oracle.com/artificial-intelligence/generative-ai/generative-ai-service/)
-- [Oracle AI Strategy and Platform webinar](https://go.oracle.com/LP=138234?elqCampaignId=489428&src1=:so:ch:or:dg::::&SC=:so:ch:or:dg::::&pcode=WWMK230822P00010)
+- [Oracle AI First Principles - Youtube series](https://www.youtube.com/watch?v=ZCX-gT1q0ZQ)
 - [Oracle’s Generative AI strategy](https://blogs.oracle.com/ai-and-datascience/post/generative-ai-strategy)
-- [AI use cases - 10 examples](https://www.oracle.com/a/ocom/docs/gated/ai-use-cases-ebook.pdf)
-- [Availability of AI Services across OCI datacenters](https://www.oracle.com/uk/cloud/public-cloud-regions/service-availability/#commercial)
+- [Oracle AI & Data Science Blog](https://blogs.oracle.com/ai-and-datascience/)
+- [AI use cases - 11 examples](https://www.oracle.com/a/ocom/docs/gated/ai-use-cases-ebook.pdf)
+- [Availability of AI Services across OCI datacenters](https://www.oracle.com/cloud/distributed-cloud/#service-availability)
 
 ## Learning paths and certifications
 - [OCI AI Foundations Certification](https://mylearn.oracle.com/ou/learning-path/become-an-oci-ai-foundations-associate-2024/140164)
diff --git a/ai/gen-ai-agents/assistant-secretary-agent/files/local_requirements.txt b/ai/gen-ai-agents/assistant-secretary-agent/files/local_requirements.txt
@@ -94,7 +94,7 @@ traitlets==5.14.3
 typing-inspect==0.9.0
 typing_extensions==4.12.2
 tzdata==2024.2
-urllib3==2.3.0
+urllib3==2.5.0
 wcwidth==0.2.13
 yarl==1.18.0
 zstandard==0.23.0
diff --git a/ai/gen-ai-agents/assistant-secretary-agent/readme.md b/ai/gen-ai-agents/assistant-secretary-agent/readme.md
@@ -2,7 +2,7 @@
 
 An AI-powered assistant that routes user input across tools like Gmail, Google Calendar, Weather API, Calculator, and Oracle’s Generative AI services for smart, dynamic task automation.
 
-Reviewed: 23.04.2025
+Reviewed: 23.08.2025
 
 # When to use this asset?
 
diff --git a/ai/gen-ai-agents/csvpdf_analyzer/readme.md b/ai/gen-ai-agents/csvpdf_analyzer/readme.md
@@ -4,7 +4,7 @@ CSV Analyzer Agent is an AI-Agent assistant designed to automate document unders
 It intelligently routes user questions through a multi-step process that includes PDF information extraction, CSV data analysis, code generation, execution, and natural language explanation.  
 It supports dynamic workflows like PDF parsing, CSV querying, and context-aware reporting through a Streamlit UI.
 
-Reviewed: April 18, 2025
+Reviewed: August 18, 2025
 
 # When to use this asset?
 
diff --git a/ai/gen-ai-agents/expense validator/readme.md b/ai/gen-ai-agents/expense validator/readme.md
@@ -4,7 +4,7 @@ Expense Validator Agent is an AI-powered assistant that automates employee expen
 It extracts structured data from uploaded PDFs, checks policy compliance, detects category mismatches, and compares declared amounts with expenses (invoice) total cost.  
 It runs as an interactive Streamlit app backed by a LangGraph-based workflow and Oracle GenAI models.
 
-Reviewed: May 6, 2025
+Reviewed: August 20, 2025
 
 # When to use this asset?
 
diff --git a/ai/gen-ai-agents/oci_adk_projects/adk-weather-tool/requirements.txt b/ai/gen-ai-agents/oci_adk_projects/adk-weather-tool/requirements.txt
@@ -1,5 +1,5 @@
 fastapi==0.111.0
 uvicorn==0.29.0
-requests==2.31.0
+requests==2.32.4
 python-dotenv==1.0.1
 oci==2.114.1
diff --git a/ai/generative-ai-service/hr-goal-alignment/files/requirements.txt b/ai/generative-ai-service/hr-goal-alignment/files/requirements.txt
@@ -106,7 +106,7 @@ typing-inspection==0.4.0
 tzdata==2025.2
 unstructured==0.17.2
 unstructured-client==0.34.0
-urllib3==2.3.0
+urllib3==2.5.0
 webencodings==0.5.1
 wrapt==1.17.2
 xlrd==2.0.1
diff --git a/cloud-infrastructure/ai-infra-gpu/ai-infrastructure/rag-langchain-vllm-mistral/files/requirements.txt b/cloud-infrastructure/ai-infra-gpu/ai-infrastructure/rag-langchain-vllm-mistral/files/requirements.txt
@@ -170,7 +170,7 @@ pydantic-settings==2.8.1
 pydantic_core==2.33.1
 pyee==12.1.1
 Pygments @ file:///croot/pygments_1684279966437/work
-pypdf==5.4.0
+pypdf==6.0.0
 PySocks==1.7.1
 python-dateutil==2.9.0.post0
 python-dotenv==1.1.0
@@ -218,7 +218,7 @@ torchaudio==2.6.0
 torchvision==0.21.0
 tqdm==4.67.1
 traitlets @ file:///croot/traitlets_1718227057033/work
-transformers==4.52.1
+transformers==4.53.0
 trio==0.29.0
 trio-websocket==0.12.2
 triton==3.2.0
@@ -230,7 +230,7 @@ tzdata==2025.2
 urllib3==2.3.0
 uvicorn==0.34.0
 uvloop==0.21.0
-vllm==0.9.0
+vllm==0.10.1.1
 watchfiles==1.0.5
 wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work
 websocket-client==1.8.0
diff --git a/data-platform/data-development/sqldev-copilot-vscode-sqcl-mcp/README.md b/data-platform/data-development/sqldev-copilot-vscode-sqcl-mcp/README.md
@@ -1,18 +1,47 @@
 # SQLDev Copilot Integration VSCode & SQLcl MCP Support
 
+Model Context Protocol is an open protocol which standardizes how applications provide context to LLMs.
+
+Launched in November 2024 by Anthropic, it can be considered as a "USB-C" port for AI applications and, like a USB-C, provides a standardized way to connect AI models to different data sources and tools. To accomplish this, It provides a singular interface to have standard interactions with database, files, business applications, developer tools and more.
+
+MCP has three primary constructs:
+- Resources: provide data that an MCP server wants to make available to clients like documents, Database records, API responses, screenshots and images and more;
+
+- Tools: essentially function calls (with input/output arguments) in the MCP which enable servers to expose executable functionality to clients. Through tools, LLMs can interact with external systems, perform computations and take actions in a real world context.  
+
+- Prompts:  define reusable prompt templates than can be surfaced by clients to LLMs provide a powerful way to standardize and share common LLM interactions.
+
+Oracle SQLcl version 25.2 extends Oracle SQLcl to support MCP-based communication. It enables you to perform operations, create reports, and run queries on Oracle Database using natural language through AI-powered interactions. 
+
+SQLcl MCP Mode:
+- Works with all supported Oracle Database releases (19c, 21c, 23ai) on-prem and in the Cloud (OCI, Azure, AWS, GCP).
+- Comes with an offer of Server Tools (SQLcl MCP Server Tools):
+  - list-connections: discovers all saved Oracle DB connections
+  - connect: establishes a connection to DB
+  - disconnect: terminates the current DB connection
+  - run-sql: runs standard SQL queries/DDLs/DMLs and PL/SQL code against DB
+  - run-sqlcl: runs specific SQLcl commands 
+
+The SQL Developer Extension for VS Code 25.2 offers Oracle SQLcl MCP Server Integration. The extension when install auto-registers our MCP Server for Copilot, making your SQL Developer database connections available for agentic chat requests, including running SQL and PL/SQL against your database.
+
+
+Reviewed: 12.08.2025
 
-Reviewed: 21.07.2025
 
 # Table of Contents
  
 1. [Team Publications](#team-publications)
 2. [Useful Links](#useful-links)
 
+
 # Team Publications
+N/A
 
 
 # Useful Links
-
+- [Model Context Protocol - Overview](https://modelcontextprotocol.io/docs/getting-started/intro)
+- [Introducing SQL Developer Copilot Integration in Microsoft VSCode & MCP Support for Oracle Database](https://www.youtube.com/watch?v=hj6WoZVGUBg)
+- [Introducing MCP Server for Oracle Database](https://blogs.oracle.com/database/post/introducing-mcp-server-for-oracle-database)
 
 
 # License
