RAG

Pinecone vs Weaviate vs Qdrant: Which Vector Database Makes Sense in 2026?

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Pinecone vs Weaviate vs Qdrant: Which Vector Database Makes Sense in 2026?

Vector databases moved from niche infrastructure to core AI dependency by 2026. Almost every RAG system, semantic search feature, or AI-powered assistant relies on a vector store somewhere in the stack. Yet many teams still choose a vector database based on popularity or first exposure rather than fit. This leads to cost surprises, performance bottlenecks, … Read more

Why RAG Apps Fail: The 12 Most Common Causes of Hallucinations (and Fixes)

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Why RAG Apps Fail: The 12 Most Common Causes of Hallucinations (and Fixes)

RAG applications promised to solve hallucinations by grounding models in real data, but in 2026 many teams are still disappointed with the results. Answers sound confident, citations look convincing, and yet the output is often wrong, incomplete, or misleading. This is not because retrieval-augmented generation is flawed in theory. It fails because it is implemented … Read more