Hallucination Reduction in LLMs Through Search Grounding
Grounding LLMs with search evidence reduces hallucination through system design, not model size.
Linh Phuong Dao
LLM Evals Weekly
Search Benchmarks
Latency Benchmarking Methodology for Search API Infrastructure
Reliable API latency benchmarks must isolate network costs and measure accuracy alongside speed.
Accuracy vs. Freshness Benchmarking for Real-Time Search APIs
Separate freshness and accuracy testing to diagnose retrieval failures.
Camille Roth-Svensson
More From LLM Evals Weekly
Structured Output Schemas for Search API Responses in Type-Safe Codebases
Linh Phuong Dao
Rate Limit Handling and Retry Logic for Search APIs in Production
How to keep search pipelines alive when rate limits hit hard in production.
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Search API Provider Selection Criteria for Enterprise AI Teams
Four ordered gates—compliance, accuracy, latency, cost—protect enterprises choosing search APIs.
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Integrating a Research API Into Multi-Agent Orchestration Frameworks
Design your research API around explicit ownership, citations, and latency constraints.
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Streaming Search Results Into LLM Generation Loops
How to coordinate retrieval timing with real-time token delivery.
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Contents API for Web Scraping and Full-Page Extraction at Scale
The infrastructure choice that determines what content your LLM pipeline can actually reason over.
Linh Phuong Dao
Connecting You.com API to an LLM Retrieval Pipeline
Build grounding and citations into LLM pipelines by choosing between function calling and RAG.
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Stateful vs. Stateless Search in Long-Running Agent Sessions
Preserve agent context through stateful orchestration, not stateless replay.
Linh Phuong Dao
Agentic Search Infrastructure for Small Dev Teams on Tight Budgets
Live search beats static indexing for agents that need current, citable answers.
Marcus Delacroix-Okafor