Research & insights
Learned Contextual Chunking: From LLM Supervision to Fast CPU Inference
How Valyu uses LLM supervision to train XGBoost document chunkers on CPU, comparing evidence retrieval and chunking latency against Gemma 12B.
The Valyu blog
Practical guides, research, and ideas from the team building search for AI.
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Read the storyHow Valyu uses LLM supervision to train XGBoost document chunkers on CPU, comparing evidence retrieval and chunking latency against Gemma 12B.
Compare five investment research APIs for filings, company financials, news, market feeds and cited reports. Includes Python and TypeScript examples.
Compare Valyu, arXiv, Semantic Scholar, OpenAlex, and PubMed E-utilities by the evidence an AI agent needs to discover, inspect, verify, and cite research.
How a real-time horizon-scanning capability powered by Valyu is helping the Nuclear Decommissioning Authority bring relevant developments into view sooner.
How Valyu serves a five-model routing stack from one Blackwell GPU with CUDA MPS, affinity routing, task-specific batching, and CRIU snapshot restore.
How o11 (YC W26) uses Valyu to ground its financial AI agents in SEC filings, company data, news, and more - skipping months of indexing and partnerships.
ChemRxiv chemistry preprints are now in Valyu - full-text search for AI agents, across the Search and DeepResearch APIs.
How Storke uses Valyu APIs to cut clinical evaluation timelines by half, grounding clinical evaluation reports in academic and regulatory literature.