4 ms·
It adds useful context to the discussion and spurs further conversation.
by williamcotton 2y ago
It adds useful context to the discussion and spurs further conversation.
- williamcotton 2y agoHyDE: Hypothetical Document Embeddings [1] RAGAS: RAG Assessment [2] RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval [3] Self-RAG: Self-Reflective Retrieval-Augmented Generation [4] Agentic RAG: Agentic Retrieval-Augmented Generation [5] GraphRAG: Graph Retrieval-Augmented Generation [6] [1] https://docs.haystack.deepset.ai/docs/hypothetical-document-embeddings-hyde https://docs.haystack.deepset.ai/docs/hypothetical-document-... [2] https://docs.ragas.io/en/stable/ https://docs.ragas.io/en/stable/ [3] https://arxiv.org/html/2401.18059v1 https://arxiv.org/html/2401.18059v1 [4] https://selfrag.github.io https://selfrag.github.io [5] https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_agentic_rag/ https://langchain-ai.github.io/langgraph/tutorials/rag/langg... [6] https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/ https://www.microsoft.com/en-us/research/blog/graphrag-unloc...