Showing posts with the label Semantic Search

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, product IDs, or specific acronyms. While embeddi…
Hybrid Search in Elasticsearch: Improve RAG Accuracy with BM25 & kNN

Document Chunking and LLM Embeddings: Enterprise RAG Best Practices

Feeding monolithic PDFs into Large Language Models (LLMs) destroys context accuracy and causes massive hallucination rates. In an enterprise environment, where precision is non-negotiable, your Ret…
Document Chunking and LLM Embeddings: Enterprise RAG Best Practices
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