haystack-search-pipeline-streamlit
should-i-follow
| haystack-search-pipeline-streamlit | should-i-follow | |
|---|---|---|
| 2 | 1 | |
| 21 | 43 | |
| - | - | |
| 6.2 | 5.7 | |
| 8 months ago | 4 months ago | |
| Python | Python | |
| - | - |
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haystack-search-pipeline-streamlit
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[Project] I built a template repo for quick prototyping of search pipelines with Haystack and Streamlit
So here it is: https://github.com/deepset-ai/haystack-search-pipeline-streamlit
- Show HN: Quick prototyping search pipelines with Haystack and Streamlit
should-i-follow
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Show HN: Should I follow them on Twitter? – an app for the lols
A demo application where you enter a Twitter username to see what they've been posting about lately, their tone and languages they use.
Built with Haystack: https://github.com/deepset-ai/haystack
It uses text-davinci-003 from OpenAI (for now) with a custom Haystack PromptTemplate.
You can check out the source code here too: https://github.com/TuanaCelik/should-i-follow
What are some alternatives?
what-would-mother-say - 💁♀️ A Tweet creation Agent that fetches usernames last k tweets and generates a tweet about the requested topic
Bard-API - The unofficial python package that returns response of Google Bard through cookie value.
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
hashformers - Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).
Solomon - Data Exploration tool.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
LiveActionMap - An attempt to map the areas with active conflict in Ukraine using open source twitter data.
jina-meme-search-example - Meme search engine built with Jina neural search framework. Search with captions or image files to find matching memes. [Moved to: https://github.com/jina-ai/example-meme-search]
unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities