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  • Artificial Analysis Launches Search Index Benchmark for AI Agent Search APIs

    Artificial Analysis has released the Search Index, a benchmark suite designed to evaluate web search APIs for autonomous AI agents across retrieval quality, query latency, and end-to-end task economics. The initial evaluation tests seven dedicated search providers: Parallel, Exa, Firecrawl, You.com, Tavily, Keenable, and Brave. Benchmark Setup and Evaluation Methodology To isolate search API performance from model variance, the evaluation executes all tests with GPT-5.6 Luna inside Stirrup,

    1 min
  • Why Dense Vector Search Alone Fails: Architecting Production Hybrid Retrieval for RAG

    In early Retrieval-Augmented Generation (RAG) deployments, single-stage dense vector search served as the standard retrieval primitive. The workflow appeared straightforward: partition a document corpus into chunks, compute vector embeddings for each chunk using a pre-trained bi-encoder, index the vectors in an approximate nearest neighbor (ANN) store, and retrieve the top candidates by cosine similarity against the query embedding. In production systems handling technical documentation, softwa

    1 min