Glossary
| Term | Definition |
|---|---|
| Chunk | Document segment. During ingestion, each document is split into chunks for more precise search. |
| Favorite | An answer deemed particularly useful by a user, which can be shared with all users after administrator validation. |
| Ingestion | The process of importing and processing a document: text extraction, splitting into chunks, embedding creation and indexing. |
| OCR | Optical Character Recognition. Extracts text from images or scanned PDFs. |
| RAG | Retrieval Augmented Generation. A technique combining document search and AI text generation to produce reliable, sourced answers. |
| Deep search | Search mode using reranking to reorder results by relevance, at the cost of slightly longer processing time. |
| Hybrid search | Search mode combining semantic search (by meaning) and keyword search for complementary results. |
| Re-ingestion | Reprocessing a document already in the base. Useful after a document update or to improve chunking. |
| Reranking | Technique of reordering search results using an AI model to improve relevance. |
| Source | Reference to the specific document and passage used to generate an answer. Allows information verification. |
| Product Universe | Grouping of documents by product range or theme. Allows targeting searches to a specific scope. |
| VLM | Vision Language Model. An AI model capable of analyzing and describing image content in documents. |
| Widget | An embeddable version of the RAGFab chat, designed to be inserted into external applications (intranet, portals, etc.). |