SearchAgent-X
Collection
All datasets and models you need to run and test SearchAgent-X. Note that you can easily change them to your own models/datasets.
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This is the vector index file of our paper SearchAgent-X. It contains a HNSW-based index file of approxiamte nearest neighbor search built for Wikipedia English corpus.
Details of this dataset:
- Chunked Text: wiki-18-corpus
- Embedding Model: all-MiniLM-L6-v2
- HNSW Implementation Base: HNSWLib
- Indexing Params:
- 32 neighbors per node (i.e., M)
- candidate list of 500 (i.e., efConstruction)
DIY: How to Encode and Index Your Own Corpus?
😄 Follow our github instructions and code here
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