Tag: retrieval‑augmented generation

The New York Times has filed a copyright infringement lawsuit against AI search company Perplexity, alleging that the firm’s commercial products repurpose the newspaper’s content without permission. The suit claims Perplexity’s retrieval‑augmented generation (RAG) technology crawls the web, reproduces articles verbatim or in near‑verbatim summaries, and delivers them to users as its own output. The lawsuit seeks monetary relief and an injunction to stop further use of the Times’ material. The filing follows similar actions by other publishers targeting Perplexity’s practices. Leggi di più

Entrepreneur John Pasmore launched Latimer AI to address bias in large language models. The platform combines multiple LLMs with a curated database and retrieval‑augmented generation to deliver more accurate, inclusive answers. Targeting educators, businesses, and developers, Latimer AI offers a web app and API, with free and paid plans. Pasmore emphasizes empathy and cultural relevance, positioning the tool as a corrective to the dominant narratives produced by mainstream AI services. Leggi di più

Wikimedia Deutschland announced the Wikidata Embedding Project, a new database that applies vector‑based semantic search to Wikipedia’s structured data. Developed with Jina.AI and DataStax, the system supports the Model Context Protocol and improves retrieval‑augmented generation for large language models. The publicly available database on Toolforge offers richer, multilingual results and will be highlighted in a developer webinar on October 9th. Leggi di più