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
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Releases
| Version | Type | Core | Release date | |
|---|---|---|---|---|
| 1.0.x-dev | Dev | Jun 13, 2023 |