https://github.com/deepset-ai/haystack-demos
Fully working applications that demonstrate how to use Haystack to implement various use cases
https://github.com/deepset-ai/haystack-demos
demo-app haystack haystack-ai llms nlp python question-answering rest-api semantic-search
Last synced: about 1 month ago
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Fully working applications that demonstrate how to use Haystack to implement various 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 (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-11T08:54:19.000Z (about 2 months ago)
- Last Synced: 2025-03-29T05:07:38.698Z (about 1 month ago)
- Topics: demo-app, haystack, haystack-ai, llms, nlp, python, question-answering, rest-api, semantic-search
- Language: Python
- Homepage:
- Size: 13.3 MB
- Stars: 116
- Watchers: 9
- Forks: 24
- Open Issues: 8
-
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).
To build your own Haystack demo, you can use the [👾 Template for Haystack Apps with Streamlit](https://github.com/deepset-ai/haystack-streamlit-app).
## 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) |