Glossary

Key terms and concepts behind Leafra's AI PDF chat and document intelligence.

• RAG (Retrieval-Augmented Generation)

  RAG is a technique that combines retrieval of relevant documents with generative AI to produce accurate, context-aware answers.

• Vector Search

  Vector search finds similar content by comparing numerical representations (embeddings) of text, enabling semantic search.

• Embedding

  An embedding is a numerical vector that represents the meaning of text, used for similarity search and RAG.

• PDF (Portable Document Format)

  PDF is a file format for documents that preserves layout and is widely used for reports, manuals, and forms.

• Document AI

  Document AI refers to using artificial intelligence to understand, extract, and reason over document content.

• Semantic Search

  Semantic search finds content by meaning rather than exact keywords, using embeddings and vector similarity.