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 weaviate.io
Ranking Models for Better Search | Weaviate
| | blog.vespa.ai
Pretrained Transformer Language Models for Search - part 1 | Vespa Blog
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| | This is the first blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.
| | unstructured.io
Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured
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| | Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case.
| | emiruz.com
Bootstrapping ranking models with an LLM judge - Emir's blog
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| [AI summary] The author creates a ranking model for Hacker News articles by using an LLM to label 500 titles based on user preferences and training a simple Ridge regression model on sentence transformer embeddings.