Local Loom crawls any WordPress website, indexing all content, splitting it into paragraphs, and creating vector embeddings for each paragraph. Users can search content by embeddings to find similar paragraphs and link older, relevant content to new material.
Currently working on:
- Content Enhancement Recommendations: Identifies gaps in existing content and suggests edits or additions to enhance the user experience.
- Automated Tagging: Applies relevant tags to each paragraph to improve indexing and discoverability.
Local Loom uses the Pinecone API to store embeddings generated by OpenAI and search content. It is written in Python and uses AirTable to store post and project information.