johannhartmann/pgturbohybrid_dbpedia_colbert

johannhartmann/pgturbohybrid_dbpedia_colbert Precomputed DBpedia ColBERT multivectors for pgturbohybrid benchmark runs. The dataset stores packed little-endian float16 values for the document and query embeddings. Importing these rows into PostgreSQL avoids llama.cpp embedding generation during retrieval/index benchmarks. This compact export stores half-precision values and reconstructs turbohybrid_multivector values on import. Use it for benchmark loading where avoiding runtime… See the full description on the dataset page: https://huggingface.co/datasets/johannhartmann/pgturbohybrid_dbpedia_colbert.