RAG & Retrieval
JSON-LD
A standardized format for embedding structured data in web pages using JSON syntax within a script tag.
In depth
A standardized format for embedding structured data in web pages using JSON syntax within a script tag. Search engines and AI models read JSON-LD to understand page content - common schemas include Article, FAQPage, DefinedTermSet, and BreadcrumbList.
Example
In practice, developers reach for JSON-LD when they need the capability described above as part of an AI feature or workflow.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover RAG & Retrieval.
FAQ
What is JSON-LD?
A standardized format for embedding structured data in web pages using JSON syntax within a script tag.
Why does JSON-LD matter for AI developers?
JSON-LD sits in the RAG & Retrieval part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about JSON-LD?
Developers Digest publishes tutorials and videos that cover RAG & Retrieval topics including JSON-LD. Check the blog and YouTube channel for hands-on walkthroughs.
Related terms
RAG & Retrieval
Hybrid Search
A retrieval strategy that combines keyword-based search (BM25, TF-IDF) with semantic vector search (embeddings) to get the best of both approaches.
RAG & Retrieval
Semantic Search
A search method that finds results based on meaning rather than exact keyword matches.
RAG & Retrieval
Chunking
The process of splitting large documents into smaller, overlapping segments for embedding and retrieval in RAG systems.
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