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Cortexa research tool·cs ml·embedding
Embedding Database Create
Create a per-collection datastore: <name>.db (SQLite) + <name>.faiss (FAISS). Embeds documents using the chosen provider (openai/azure/huggingface/local). Vectors are L2-normalized; FAISS index uses IndexFlatIP (cosine).
AvailableCortexa
Schema
JSON Schema the agent (or your API call) must match.
JSON · 53 lines · 1,347 chars
Examples (1)
Default Embedding Database Create call
public-safeinput
JSON · 5 lines · 62 chars
Expected response keys: success
Anonymous-safe example. Rate-limited; no sign-in required.
Identifiers
- Catalog ID
- tu_embedding_database_create
- Tool name
- embedding_database_create
- Added
- 2026-05-01 00:58Z
- Tags
- tooluniverse