Appendix - References

This page collects every external document referenced from the tutorial, grouped by topic, so you have a single place to bookmark.

Tooling

• Python
• uv
• GNU Make
• Azure CLI
• Azure Developer CLI (azd)

LangChain & LangGraph

• Install LangGraph
• LangGraph Quickstart
• Connect with VS Code (MCP)
• langchain-ai/langchain-skills
• Microsoft provider integrations
• LangChain callbacks

Microsoft Foundry

• Microsoft Foundry overview
• Get started with LangChain and LangGraph on Foundry
• Use LangChain with models in Microsoft Foundry
• Trace LangChain and LangGraph apps with Foundry & Azure Monitor
• Monitor generative AI applications (preview, classic)
• DefaultAzureCredential reference

MLflow

• MLflow LangGraph integration
• MLflow tracking server
• MLflow GenAI Evaluation
• MLflow built-in scorers
• @scorer decorator

Infrastructure as Code

• microsoft/CAIRA
• microsoft-foundry/foundry-samples - infrastructure

PostgreSQL (pgvector) vector store

• pgvector / pgvector
• pgvector/pgvector Docker image
• langchain-postgres package
• langchain-postgres source
• PGVector quickstart (LangChain docs)

Azure Database for PostgreSQL (pgvector)

• Azure Database for PostgreSQL Flexible Server overview
• Quickstart - create a Flexible Server (portal)
• Use the pgvector extension
• Configure Microsoft Entra authentication
• Use LangChain with Azure Database for PostgreSQL

Repository entry points

• README.md
• Makefile
• pyproject.toml
• compose.yml
• .env.template
• scripts/microsoft_foundry/vanilla.py
• scripts/mlflow/vanilla.py
• scripts/postgresql/vanilla.py
• concierge/settings/microsoft_foundry.py
• concierge/settings/observability.py
• concierge/settings/postgres.py
• concierge/settings/azure_postgres.py
• concierge/settings/project.py
• concierge/loggers.py
• concierge/observability.py