refactor(stats): replace separate successful retrievals and error rate with combined retrieval success rate

fix(ui): remove mismatched labels from radio query options

feat: Integrate ConflictDetector into RetrievalAPI

feat: enhance system statistics with comprehensive real-time reporting

docs: enhance README with search mode guides and app info updates, add entanglement resonance feature

feat(rag): enable additional datasets and add hybrid search fallback

revert(app): limit HF datasets to 50k arxiv and core packs for space constraints

feat(app): increase ArXiv dataset ingestion limit to 100k papers

refactor: increase arxiv download limit to 10k for full capacity

feat(query): update confidence threshold and enhance debug logging

docs: correct grammar in import comment

here

and again

feat(ingestion): limit arxiv dataset downloads to prevent HF timeout

again...

again

again

refactor: disable hybrid search and lower confidence threshold for semantic search debugging

feat: enhance debug output for embedding and scoring diagnostics

feat(query_warbler): add confidence_threshold parameter

feat: implement batch embedding for faster document ingestion

feat(app/docker): integrate committed packs and optimize embedding provider

refactor: simplify system initialization by removing function wrapper

feat: integrate HuggingFace Spaces GPU acceleration

feat: expand dataset ingestion to include multiple packs and update dependencies

there-is-already-a-branch (#1)

Upload folder using huggingface_hub

feat: enhance pack ingestion logging and implement advanced summarization

refactor(app): improve code formatting and add background ingestion status display

chore: update .gitignore to ignore Node.js node_modules

disabled parallelism

`Refactored background ingestion tracking and function`

again

trying to allow ingesting in the background. Current throughput on ingest is 17+ documents per secon, that means only 25k documents out of over a million will load within HuggingFace's required time limit. If we want to have access to all 1.5m documents, we need to run the ingest in the background and allow Warbler-CDA to report healthy before the time-limit is up.

`Refactor Warbler pack ingestion to process in batches for memory efficiency and add progress updates.`

another try.

manually edited this time to try something... I noticed the \n\n at any f multi-line-strings were red... conversion to single-line turned them normal color... hoping this works.

`Removed newline before assembly quality metric`

Fix syntax errors in app.py preventing Gradio app startup on HF Spaces

app.py hotfix

staged changes are still showing even after forced push.