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demilich

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research.nvidia.com
3 points·by demilich·hace 2 años·0 comments

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demilich
·hace 2 años·discuss
https://github.com/infiniflow/infinity, dense vector + sparse vector + fulltext search(BM25) + late interact reranker(Colbert)
demilich
·hace 2 años·discuss
GraphRAG is to parse data to create a KG and retrieval the information from KB.

RAGFlow is to create a Graph workflow to solve multi-hop question-answering issue.
demilich
·hace 2 años·discuss
Current RAG is more and more complex, will future LLM or New AI model overthrow the RAG?
demilich
·hace 2 años·discuss
Infinity supports HNSW vector index.
demilich
·hace 2 años·discuss
Check https://github.com/infiniflow/infinity which combines vector search and full-text search providing extremely fast search performance.
demilich
·hace 2 años·discuss
Try RAPTOR: https://arxiv.org/html/2401.18059v1

An implementation: github.com/infiniflow/ragflow
demilich
·hace 2 años·discuss
Agreed
demilich
·hace 2 años·discuss
RAGFlow (github.com/infiniflow/ragflow) use OCR/layout recognition/TSR(table structure recognition) to understand the document structure and context. Is there any difference between RAGFlow and ZenDB?
demilich
·hace 2 años·discuss
Use C++20 modules, take a look at this project: https://github.com/infiniflow/infinity
demilich
·hace 2 años·discuss
Cool! This is really helpful.
demilich
·hace 2 años·discuss
Each project has its own detailed requirements and scenarios, and we cannot demand that each project use same library to implement similar functions
demilich
·hace 2 años·discuss
The recognition of file layout to parse file content is indeed a very innovative idea. Compared to many open-source projects we have seen before, this provides us with new ideas for using RAG to solve problems in the future. I hope the author of this project will continue to update it, so that more people can benefit from it.