Reranking text documents with Ollama and Qwen3 Reranker model - in Go:
https://www.glukhov.org/post/2025/06/reranking-with-ollama-qwen3-reranker-golang/
#go #ollama #rag #reranking #qwen3 #llm #ai
Reranking text documents with Ollama and Qwen3 Reranker model - in Go:
https://www.glukhov.org/post/2025/06/reranking-with-ollama-qwen3-reranker-golang/
#go #ollama #rag #reranking #qwen3 #llm #ai
Reranking text documents with Ollama and Qwen3 Embedding model - in Golang:
https://www.glukhov.org/post/2025/06/reranking-with-ollama-qwen3-embedding-golang/
#ollama #embedding #reranking #golang #ai #llm
You Don't Need Re-Ranking: Understanding the Superlinked Vector Layer
https://superlinked.com/vectorhub/articles/why-do-not-need-re-ranking
#HackerNews #You #Need #Re-Ranking #Understanding #the #Superlinked #Vector #Layer #Superlinked #Vector #Layer #ReRanking #AI #Technology #Vector #Hub
Jina Al just released Jina ColBERT v2, a Multilingual Late Interaction Retriever for #Embedding and #Reranking. The new model supports 89 languages with superior retrieval performance, user-controlled output dimensions, and 8192 token-length.
Boosting Search Engines with Interactive Agents
Leonard Adolphs, Benjamin Börschinger, Christian Buck et al.