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* Update all the tests
* Sharepoint results and some TODOs
* update package version
* hide retireval count on agentic
* new ux
* disable minimal on web
* refactor query rewriting
* disable streaming on frontend if retrieval reasoning toggled
* minimal supports answerings
* default retrieval effort
* default retrieval effort
* black + ruff
* working on ux
* more ux
* ux
* more ux updates
* more ux updates
* more ux work
* more ux work
* more ux work
* model cleaning up after itself
* simplify
* remove old properties
* WIP select web search
* updating ux
* updating ux
* allow streaming even though web is allowed
* test fixes
* more tests
* Refinements
* UI improvements
* Update tests
* Update translations
* Minimal fixes
* Fix sharepoint citations
* Sharepoint citations
* Fix some sharept stuff
* Latest fix
* mypy, black, ruff
* snapshot update
* Update tests
* Fixed mypy issues and added missing CI var
* Fix black formatting
* Make some fixes
* Ruff format
* Revert requirements.txt unneeded changes to bare minimum
* Revert document-intelligence change
* Address Copilot feedback
* Remove old test snapshots, add e2e tests
* Pin i18n-check to a version that works
* Renaming files
* Complete Contoso to Zava change
* Fix the Zava domain to example.org since Zava.com does not exist
* Revert unneeded changes to AGENTS and evals, and fix weird azd env var name
* Revert unneeded changes to AGENTS and evals, and fix weird azd env var name
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Co-authored-by: Pamela Fox <pamela.fox@gmail.com>
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@@ -72,6 +72,11 @@ When adding new azd environment variables, update:
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1. .azdo/pipelines/azure-dev.yml: Add the new environment variable under `env` section
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1. .github/workflows/azure-dev.yml: Add the new environment variable under `env` section
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You may also need to update:
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1. app/backend/prepdocs.py: If the variable is used in the ingestion script, retrieve it from environment variables here. Not always needed.
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1. app/backend/app.py: If the variable is used in the backend application, retrieve it from environment variables in setup_clients() function. Not always needed.
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## Adding a new setting to "Developer Settings" in RAG app
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This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-4.1-mini), and Azure AI Search for data indexing and retrieval.
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The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.
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The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Zava, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.
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