Endpoints Sbert_eduplex
Last updated
Last updated
GET (deprecated)
GET (deprecated)
GET (deprecated)
GET (not publicly available)
POST (publicly available, Authorization header is needed)
Request example:
@return: a JSON file with dimension, llm model, text to vectorise, and the numerical vector for eact text within the vectorise array
Takes a JSON file with a pre-defined language and computes similarity scores for skills based on ESCO descriptions Similarity score is computed for each pair of skills. Currently only english is supported
Request example:
Response example:
JSON file with cosine similarity scores
Takes a JSON file with a pre-defined serialised LLM and retrieves similarity scores for skills based on ESCO descriptions. Scores are retrieved from a previously vectorised model containing all vectors for all ESCO's skills trained with ESCO descriptions. Thus vector embeddings are not computed but retrieved, but semantic similarity is computed.
@return: JSON file with cosine similarity scores
Takes a JSON.
@return: JSON file with top k matches for title, description, and learning goals
GET
POST (Authorization header is needed)
GET
POST (Authorization header is needed)
GET (not publicly available)
POST (Authorization header is needed, also including boolean param sanitize_all
)