Showing posts with the label Vector Search

RAG Chunking Strategies: Optimizing Retrieval for LLMs

Retrieval-Augmented Generation (RAG) fails most often not because of the Large Language Model (LLM), but because of poor data preparation. When you …
RAG Chunking Strategies: Optimizing Retrieval for LLMs

Hybrid Search in Elasticsearch: Improve RAG Accuracy with BM25 & kNN

Relying solely on dense vector search often causes Retrieval-Augmented Generation (RAG) systems to fail when users search for exact technical terms…
Hybrid Search in Elasticsearch: Improve RAG Accuracy with BM25 & kNN
OlderHomeNewest