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
Common questions
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
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
MTEB
The Massive Text Embedding Benchmark, a suite for comparing embedding models across many tasks instead of a single similarity dataset.
RAG & Retrieval
Semantic Search
A search method that finds results based on meaning rather than exact keyword matches.
Put this concept to work
Get Smarter About AI Dev
New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.
One email per weekReal code, not theoryFree forever