Blog
Guides, engineering deep-dives, and news about AI search.
Why AI Agents Need Their Own Search API
Traditional search engines are built for humans. AI agents need structured, fast, semantic results. Here's why a dedicated search API changes everything.
Semantic vs Keyword Search: Which One Should Your Agent Use?
Keyword search finds exact matches. Semantic search understands meaning. Hybrid combines both. We benchmark all three modes on real queries.
How to Reduce AI Hallucinations by 90% with Search Grounding
LLMs hallucinate when they lack real-time data. Web search grounding provides factual context. We show how SearchX reduces hallucination rates in production agents.
Connect Any AI Agent to the Web with MCP Protocol
Model Context Protocol is the standard way AI agents interact with tools. Here's how to connect SearchX to Claude, GPT, and custom agents in 5 minutes.
How We Index Billions of Pages on a Single Server
Binary quantization, matryoshka embeddings, and tiered architecture. Our engineering deep-dive into building a search engine that handles billions of pages for under $200/month.