E5

A local embedding model, a second smaller model that converts text into vectors, is essential for retrieval-augmented generation (RAG) setups, as it retrieves relevant document chunks for the LLM. Acc…

Manticore Search rebuilt its ONNX path, achieving 14× faster embeddings than the previous SentenceTransformers/Candle backend. The new ONNX Runtime backend, released in Manticore Search 27.1.5, boosts…

A Cloudera engineer describes how vector search in Elasticsearch enables semantic search and RAG pipelines by finding documents based on meaning rather than exact keywords. The post explains that vect…