Is grep all you need? Lexical VS Sematic Search for Agents
The article discusses the relevance of grep in the context of lexical versus semantic search for agents. It highlights the limitations of grep, particularly its inability to handle unstructured documents like PDFs and images. The piece also emphasizes the need for improved tools to unlock these types of documents for more effective search capabilities.
- ▪Grep is a powerful tool for precise substring and regex matching in text-based files.
- ▪Lexical search with grep is limited to plain text and struggles with unstructured documents.
- ▪There are enterprise-grade approaches that enhance agentic search scalability while maintaining accuracy.
Opening excerpt (first ~120 words) tap to expand
Content Grep and what comes with it Unlocking unstructured documents Building for scale: semantic search and RAG Conclusion: is grep all you need? const l=".LongFormContent h2, .LongFormContent h3",c=[...document.querySelectorAll(l)],r=[...document.querySelectorAll(".TableOfContents a")];let i=0,s="up";const a={root:null,rootMargin:"0px",threshold:0},d=e=>{const n=c.findIndex(t=>t==e.target);return n===0?c[0]:c[n-1]},u=e=>!!(s==="down"&&e.isIntersecting||s==="up"&&!e.isIntersecting),f=e=>{const n=e.id;if(!n)return;let…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Llamaindex.
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