ColBERT GitHub repository
repo
Fields
id
sources/niche-colbert-repoPublisher
Stanford Future Data Systems
Kind
repo
Accessed
2026-10-03
notes
ColBERT README. Late-interaction retrieval: passages are encoded into matrices of token-level embeddings, MaxSim scoring at query time. Ships the ColBERTv2.0 checkpoint trained on MS MARCO Passage Ranking plus the LoTTE benchmark. Install is `pip install colbert-ai[torch,faiss-gpu]` with the README warning conda is more reliable for faiss/torch conflicts; a separate conda_env_cpu.yml exists for CPU-only. API metadata 2026-10-03: created 2020-05-25, last push 2025-10-14, v0.2.22 (2025-08-11), MIT, 290 open issues, 3944 stars.
Notes
ColBERT README. Late-interaction retrieval: passages are encoded into matrices of token-level embeddings, MaxSim scoring at query time. Ships the ColBERTv2.0 checkpoint trained on MS MARCO Passage Ranking plus the LoTTE benchmark. Install is `pip install colbert-ai[torch,faiss-gpu]` with the README warning conda is more reliable for faiss/torch conflicts; a separate conda_env_cpu.yml exists for CPU-only. API metadata 2026-10-03: created 2020-05-25, last push 2025-10-14, v0.2.22 (2025-08-11), MIT, 290 open issues, 3944 stars.
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