tableQA-Chinese
Unsupervised tableQA and databaseQA on chinese finance question and tabular data (by svjack)
cherche
Neural Search (by raphaelsty)
| tableQA-Chinese | cherche | |
|---|---|---|
| 1 | 12 | |
| 11 | 313 | |
| - | - | |
| 2.6 | 4.4 | |
| about 1 year ago | about 1 month ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
tableQA-Chinese
Posts with mentions or reviews of tableQA-Chinese.
We have used some of these posts to build our list of alternatives
and similar projects.
cherche
Posts with mentions or reviews of cherche.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-10.
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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
What are some alternatives?
When comparing tableQA-Chinese and cherche you can also consider the following projects:
Cornucopia-LLaMA-Fin-Chinese - 聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)
NetShears - iOS Network monitor/interceptor framework