Collection of Search API Processors to generate embeddings.
In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that words that are closer in the vector space are expected to be similar in meaning
The module also contains useful tools like Chunkers and text summarizers.
REQUIREMENTS
- Search API module.
- PHP implementation of Word2Vec.
INSTALLATION
The module can be installed via the standard Drupal installation process.
CONFIGURATION
See Search API module's README for instructions.
COMING SOON
- Chunker processor using https://github.com/kambo-1st/langchain-php
- TextRank or Automatic summarization processor using https://github.com/PHP-Science/TextRank
- More Embeddings local generators
Supporting organizations:
Development
Project information
- Project categories: Site search
- Ecosystem: Search API
11 sites report using this module- Created by eleonel on , updated
Stable releases for this project are covered by the security advisory policy.
There are currently no supported stable releases.
