1 option
Essential GraphRAG : Knowledge Graph-Enhanced RAG.
- Format:
- Book
- Author/Creator:
- Bratanic, Tomaž.
- Language:
- English
- Subjects (All):
- Artificial intelligence--Computer programs.
- Artificial intelligence.
- Natural language processing (Computer science).
- Physical Description:
- 1 online resource (133 pages)
- Edition:
- 1st ed.
- Place of Publication:
- New York : Manning Publications Co. LLC, 2025.
- Summary:
- Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM’s training data and to avoid depending on LLM for factual information. However, RAG only works when you can quickly identify and supply the most relevant context to your LLM. Essential GraphRAG shows you how to use knowledge graphs to model your RAG data and deliver better performance, accuracy, traceability, and completeness.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-63835-763-3
- OCLC:
- 1528551418
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.