| title: FRED-VDB Semantic Search | |
| emoji: 📈 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.14.0 | |
| python_version: "3.12" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Semantic search over 33K+ curated FRED economic series | |
| # FRED-VDB — Semantic Search over FRED | |
| Semantic search over 33,000+ curated FRED (Federal Reserve Economic Data) | |
| series — a high-signal subset filtered from FRED's full ~840K-series catalog. | |
| Describe the data you want in natural language; matching is by meaning, not | |
| keywords. Search runs fully offline — no FRED API key required. | |
| The prebuilt vector index is loaded from a HF Dataset at startup (set the | |
| `INDEX_DATASET` Space variable). Source: <your GitHub repo>. | |