Unlocking new capabilities in large language models with MindMap: Integrating knowledge graphs for superior reasoning and accurate responses.
A paper review of MindMap: Knowledge Graph Prompting Sparks Graph of…
Revolutionizing document integration with Docs2KG: transforming heterogeneous data into unified knowledge graphs.
A paper review of GraphRAG: Design Patterns, Challenges, and Recommendations
Source: arxiv
Project repo: github
Docs2KG…
A breakthrough in query-focused summarization using Graph RAG for more comprehensive and diverse responses to complex queries.
A paper review of From Local to Global: A Graph RAG Approach…
Combining knowledge graphs with retrieval-augmented generation for more accurate, contextually aware AI responses.
A paper review of GraphRAG: Design Patterns, Challenges, and Recommendations
Source: substack
GraphRAG represents a…
Llama3-V, an open-source VLM model rivals larger models like GPT-4-V and Gemini Ultra despite being 100 times smaller.
Llama3-V excels in efficiency and task-specific performance, incorporating innovations like Grouped-Query…
A month ago, LlamaIndex announced the launch of LlamaCloud, a pioneering managed parsing, ingestion, and retrieval service aimed at enhancing production-grade context augmentation for LLM and RAG applications.
Key components of…
In the realm of artificial intelligence, the deployment of Large Language Models (LLM) and Generative AI (GenAI) applications on personal desktop environments marks a transformative shift towards democratizing AI technology.…
In the last several decades, when people consider building a knowledge-related solution, they tend to look into two distinct directions based on whether data is structured or unstructured. Accordingly, there…
