Correct issue caused by modifications for the Swagger UI experience.

Merge pull request #16 from mwalker-tmd/feature/hf-deployment

Remove hardcoded VITE_API_URL.

Merge pull request #15 from mwalker-tmd/feature/hf-deployment

Add environment file with the production VITE_API_URL. This is required at the frontend's build time in order to avoid CORS errors.

Merge pull request #14 from mwalker-tmd/feature/hf-deployment

Diagnostic message for determining VITE API URL value.

Merge pull request #13 from mwalker-tmd/feature/hf-deployment

Diagnostic changes to identify CORS errors on production deploymment.

1) Diagnostic changes to identify CORS errors on production deploymment; 2) Changes to improve UX on the Swagger UI page.

Merge pull request #12 from mwalker-tmd/feature/hf-deployment

Update backend/main.py

Corrected ALLOW_ORIGINS environment variable processing for CORS security.

Merge pull request #11 from mwalker-tmd/feature/hf-deployment

Update pyproject.toml

Correct version limit for sentence-transformers. With this change HuggingFace should be able to connect to the fine-tuned model.

Resolve README.md merge conflict for dev space

initial commit

Merge Hugging Face space configuration with project documentation

Merge pull request #10 from mwalker-tmd/internal/deployment

Changes required to successfully deploy the application to a local docker image.

Initial deployment pipeline setup.

initial commit

Merge pull request #9 from mwalker-tmd/internal/logger-api

PR Requested change for improving the processing and testing of potential JSON errors.

Replace the debug_print function and environment variable dependency with a logger implementation. Logging level is now controlled via an API.

Merge pull request #8 from mwalker-tmd/internal/ragas-eval-tuning

Fine-Tuning notebook after runnning it via Colab.

internal: Add RAGAS evaluation and Colab fine-tuning support

Merge pull request #7 from mwalker-tmd/feature/golf-agent-ui

Corrections requested in a review of PR #7: 1) Fix typo in pyproject.toml; 2) Replaced use of an eval stmatement which is a security risk, with json.loads().

Update backend/.env.template

Merge pull request #6 from mwalker-tmd/internal/populate-vectorstore

Update notebooks/02_Retrieve_and_Test_Recommendations_MultiModel.ipynb

Update pyproject.toml

feat: Add golf shot recommendations with semantic search

Created notebooks for populating the vector store with actual shot data collected by a launch monitor, then verifying that population. The embedding model used by the notebooks is configurable (three are included).

feat: Implement a Qdrant vector store using GTE-small embeddings. Initialized it with golf shot data collected over time.

Merge pull request #5 from mwalker-tmd/feature/golf-agent-ui

Merge pull request #4 from mwalker-tmd/feature/lang-graph-agent

feat: implement golf agent UI with backend integration

Replaced default Agent_Executor with a LangGraph graph.

Merge pull request #3 from mwalker-tmd/feature/05-AdvBuild-backend

Created unit tests for the get_pro_stats_tool.

Implementation of the get_pro_stats_tool using a

Merge pull request #2 from mwalker-tmd/feature/05-AdvBuild-backend

Created unit tests for the course_insights_tool. Added a debug function to assist in debugging manual API testing. Modified code to ensure some data is returned when a course is found.

Initial implementation of the course_insights_tool. It uses the GolfCourseAPI (api.golfcourseapi.com).

Merge pull request #1 from mwalker-tmd/feature/05-AdvBuild-backend

Implementation of the seach_golfpedia_tool using the tavily.search(...) function. NOTE: This also includes pytest unit tests for the tool.