v1.3.0 (2022-02-16)
- Add significant memory improvements (10x speed improvement)
- Improve repository organization
- Improve ML
- Fix training bug
v1.2.0 (2022-01-31)
- Refactor codebase entirely, removing old code from dashboard, outdated ML, outdated extractors, and consolidate the code that's being used.
- Add increased API capabilities, allow for ML training, and new FAIS vector library.
- Increase search capabilites.
- Dockerize everything.
- Allow app to use only Elasticsearch.
- Use different data sources and allow for bulk ingestion.
v1.1.0 (2019-09-26)
- Improve underlying ASSESS algorithm (run-time, complexity, extraction, interoperability). See issues 56 and 48.
- Upgrade to Python 3. See issue 44.
- Improve Standards Extractor. See issue 10.
v1.0.0 (2019-07-11)
- First release includes web application with boostrapped front-end and basic back-end algorithm.