cherche
primeqa
| cherche | primeqa | |
|---|---|---|
| 12 | 5 | |
| 313 | 699 | |
| - | 0.4% | |
| 4.4 | 8.2 | |
| 19 days ago | 9 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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cherche
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[P] Semantic search
If you are interested, you can check out the documentation here: https://github.com/raphaelsty/cherche
- Minimalist semantic search with Cherche 2.0
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[D] is it time to investigate retrieval language models?
Here is a tool I made to create retriever-reader pipeline in a minute: Cherche, would recommend also Haystack on github !
- [P] Cherche - allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.
- Cherche - allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.
- GitHub - raphaelsty/cherche: Neural search
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[P] Library for end-to-end neural search pipelines
Github link Documentation Hackernews link
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Hacker News top posts: Jan 10, 2022
Neural Search for medium sized corpora\ (3 comments)
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Neural search library in Python for medium-sized corpora
https://github.com/raphaelsty/cherche
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers. Cherche is meant to be used with small to medium sized corpora. Cherche's main strength is its ability to build diverse and end-to-end pipelines.
- Neural Search for medium sized corpora
primeqa
- State-of-the-Art Multilingual Question Answering
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ML tool to read PDF file and answer questions from its content
Check out this project it might be of some help primeqa .
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Natural language, chat-based, AI-assisted search for Gmail
Look into primeqa (github/primeqa. With some basic python programming you can do alot of things!!
- PrimeQA
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With Just ~20 Lines of Python Code, You can Do ‘Retrieval Augmented GPT Based QA’ Using This Open Source Repository Called PrimeQA
Quick Read: https://www.marktechpost.com/2023/03/03/with-just-20-lines-of-python-code-you-can-do-retrieval-augmented-gpt-based-qa-using-this-open-source-repository-called-primeqa/ Paper: https://arxiv.org/pdf/2301.09715.pdf Github: https://github.com/primeqa/primeqa
What are some alternatives?
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question_extractor - Generate question/answer training pairs out of raw text.
flashtext - Extract Keywords from sentence or Replace keywords in sentences.
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gpl - Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
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