Grading API: One-to-One Profile-to-Job Matching
We’re excited to roll out the Grading API — a targeted alternative to our Scoring API. While the Scoring API allows one-to-many comparisons (i.e., scoring all profiles in a source against a job), the Grading API lets you evaluate a single profile against a single job.
Asking API: Natural Language Q&A for Profiles & Jobs
We're pleased to introduce HrFlow.ai's Asking API, a powerful new addition that allows users to ask natural language questions about a Profile or a Job in any Source or Board.
Text Tagging API: Introducing 3 New Taggers
We’ve expanded the Text Tagging API with three new taggers to enhance semantic understanding and classification of job-related texts.
Scoring API: raw_filters + score_threshold
We’ve just upgraded the Scoring API with two new powerful parameters: raw_filters and score_threshold.
Searching API : Introduction of raw_filter Parameter
We’ve upgraded both the Job and Profile Searching APIs by introducing a new raw_filter parameter that lets users write advanced, expressive queries using the Elasticsearch Query DSL.
Text Tagging API: Introudcing New Taggers Based on ROME 4.0 Classification
We’ve introduced a powerful enhancement to the Text Tagging API with 4 new taggers built on top of the french ROME 4.0, the latest standardized job classification framework used by France’s Pôle Emploi.
Profile Parsing API: Mozart becomes Atlas, a 3.3x faster AI Model
We are excited to introduce Atlas, our most advanced Profile Parsing model to date, which replaces the Mozart model.
Text Parsing API: Handling HTML Text
We are releasing a minor update to our Text Parsing API to handle HTML input.
Scoring API: New Scoring Algorithm Tailored for Recruitment Firms and Agencies
We're excited to announce our latest Scoring Algorithm specially designed for the Recruiting Industry.
Python SDK: Introducing the add_folder() Function for Batch Profile Parsing
We are pleased to announce a new function in our Python SDK designed to parse large batches of profiles efficiently.