Azure/gpt-rag-ingestion
The GPT-RAG Data Ingestion service automates processing of diverse documents—PDFs, images, spreadsheets, transcripts, and SharePoint—readying them for Azure AI Search. It applies smart chunking, generates text and image embeddings, and enables rich, multimodal retrieval.
Star & Fork Trend (12 data points)
Multi-Source Signals
Growth Velocity
Azure/gpt-rag-ingestion has +0 stars this period . 7-day velocity: -0.6%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | gpt-rag-ingestion | generative-bi-using-rag | flowcraft | NovelClaw |
|---|---|---|---|---|
| Stars | 173 | 173 | 171 | 176 |
| Forks | 91 | 51 | 10 | 24 |
| Weekly Growth | +0 | +0 | +2 | +4 |
| Language | Python | Python | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT-0 | MIT | MIT |
Capability Radar vs generative-bi-using-rag
Last code push 4 days ago.
Fork-to-star ratio: 52.6%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.