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 …
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…
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 enviro…