RAG (Retrieval-Augmented Generation) System for Bees and Beekeeping
Opis
This service provides a Retrieval-Augmented Generation System (RAG) designed to support beekeeping by integrating knowledge from multiple authoritative sources. The system enables users to query and retrieve relevant information from hand-curated document collections covering bee biology, beekeeping practices, legislation related to beekeeping and bee products, bee diseases, and bee products. It supports beekeepers, researchers, advisors, and regulators by providing reliable, context-aware answers derived directly from domain-specific documents. The service improves access to complex and sometimes forgotten beekeeping knowledge, supports hive management and disease prevention, and helps users understand regulatory requirements related to apiculture and bee products. The service uses a Retrieval-Augmented Generation approach that combines a language model with a semantic document retrieval system. Domain documents are processed and indexed to enable efficient semantic search and knowledge retrieval. The system uses Sentence Transformers to generate document embeddings with the BGE-M3 embedding model, while the embeddings are stored and searched using the Qdrant vector database. This architecture enables fast and accurate retrieval of relevant document passages that are used to generate context-aware responses.
Pričakovani rezultati
The system provides accurate, context-aware responses to user queries based on the integrated knowledge base. Users receive explanations and references to relevant sources covering topics such as bee biology, beekeeping practices, disease management, legal requirements, and bee products. The service improves access to specialized knowledge and supports better decision-making in beekeeping and related activities.
Kartica storitve
| Kategorija | AI products |
| Domena | Agriculture, Apiculture |
| Vertikala | Green Transition |
| Ciljni uporabniki | Beekeepers (Professional and Hobbyist), Beekeeping Associations, Agricultural Advisors and Extension Services, Researchers in Apiculture and Ecology, Universities and Students, Veterinary and Food Safety Authorities, Agricultural Policy Makers, Producers or Processors of Bee Products |
| Tip storitve | Model |
| Rezultat | RAG vector database with a selected off-the-shelf LLM model for training; chat system for inference. |
| Zahteve | Requires NVIDIA GPU node. |
| Omejitve | |
| Na voljo od | Q4/2026 |
| Licenca | MIT and CC BY-NC-SA 4.0 |
| Slika | |
| Oznaka slike |