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https://github.com/deepset-ai/haystack-demos
Fully working applications that demonstrate how to use Haystack to implement common NLP use cases
https://github.com/deepset-ai/haystack-demos
nlp python question-answering semantic-search
Last synced: 6 days ago
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Fully working applications that demonstrate how to use Haystack to implement common NLP use cases
- Host: GitHub
- URL: https://github.com/deepset-ai/haystack-demos
- Owner: deepset-ai
- License: apache-2.0
- Created: 2022-12-05T10:25:45.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-15T13:43:56.000Z (about 1 month ago)
- Last Synced: 2024-12-06T05:02:44.288Z (16 days ago)
- Topics: nlp, python, question-answering, semantic-search
- Language: Python
- Homepage:
- Size: 12.7 MB
- Stars: 108
- Watchers: 10
- Forks: 23
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Haystack Demos
[**Haystack**](https://github.com/deepset-ai/haystack) is an open source framework by [**deepset**](https://deepset.ai) for building production-ready **LLM applications**, **retrieval-augmented generative pipelines** and **state-of-the-art search systems** that work intelligently over large document collections. It lets you quickly try out the latest models in natural language processing (NLP) while being flexible and easy to use.
This repository contains **fully functional applications** that demonstrate how to use Haystack for implementing a range of NLP use cases, from **advanced LLM-driven solutions** to **practical natural language processing tasks**. Some of these applications are available online, while all of them can be run locally. For more details, visit [Haystack Demos](https://haystack.deepset.ai/overview/demo).
## Demo apps
### In this repository
| Name | Use case | Available online | Haystack Version |
| ------------------------------------------- | ------------------ | ---------------------------------------- | -----------------|
| [Explore the world](./explore_the_world/) | Question Answering | :x: | 1.0 |
| [Air-gapped rest_api](./airgapped-rest_api) | Deployment | :x: | 1.0 |
| [Healthcare](./healthcare) | Question Answering | :x: | 1.0 |
| [Qdrant Indexing](./qdrant_indexing) | Question Answering | :x: | 2.0 |
### Other cool demos 😎
| Name | Use case | Available online |
| ----------------------------------------------------------------------------------------------- | ------------------ | ----------------------------------------------------------------- |
| [🧑🏫 AutoQuizzer](https://github.com/anakin87/autoquizzer) | Content Generation | [Link](https://huggingface.co/spaces/deepset/autoquizzer) |
| [Hacker News Post Summaries 🧡](https://github.com/TuanaCelik/hackernews-summaries) | Summarization | [Link](https://huggingface.co/spaces/Tuana/hackernews-summaries) |
| [Captionate 📸](https://huggingface.co/spaces/bilgeyucel/captionate/tree/main) | Image-to-Text | [Link](https://huggingface.co/spaces/bilgeyucel/captionate) |
| [Fact Checking 🎸 Rocks!](https://github.com/anakin87/fact-checking-rocks) | Entailment Check | [Link](https://huggingface.co/spaces/anakin87/fact-checking-rocks)|
| [Should I Follow on Mastodon? 🐤](https://github.com/TuanaCelik/should-i-follow) | Content Generation | [Link](https://huggingface.co/spaces/deepset/should-i-follow) |
| [Search All Docs 🔎](https://github.com/silvanocerza/search-all-the-docs) | RAG | [Link](https://huggingface.co/spaces/deepset/search-all-the-docs) |