elasticsearch-learning-to-rank
ColBERT
elasticsearch-learning-to-rank | ColBERT | |
---|---|---|
2 | 4 | |
1,462 | 2,479 | |
0.2% | 4.9% | |
5.4 | 8.4 | |
5 days ago | 15 days ago | |
Java | Python | |
Apache License 2.0 | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
elasticsearch-learning-to-rank
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New free tool that uses fine-tuned BERT model to surface answers from research papers
I worked on a learning-to-rank problem at a previous job (which unfortunately never got deployed womp, womp). This was early days, so at the time I was looking at using LambdaMART with solr or elasticsearch for reranking with a Bayesian click model to get pseudo-labels for relevance.
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Add explain text for custom Elasticsearch plugin
I'm modifying learning to rank plugin to add some custom BM25 algo and I want to add explain like that, but I can't find documents/tutorial that clearly show how it is done.
ColBERT
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Why Vector Compression Matters
I’ll conclude by explaining how vector compression relates to ColBERT, a higher-level technique that Astra DB customers are starting to use successfully.
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How ColBERT Helps Developers Overcome the Limits of Retrieval-Augmented Generation
ColBERT is a new way of scoring passage relevance using a BERT language model that substantially solves the problems with DPR. This diagram from the first ColBERT paper shows why it’s so exciting:
- FLaNK Stack 05 Feb 2024
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New free tool that uses fine-tuned BERT model to surface answers from research papers
ColBERT and successors for retrieval.
What are some alternatives?
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Milvus - A cloud-native vector database, storage for next generation AI applications
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