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haystack/test/samples/markdown/sample.md
Branden Chan 75dcfd3fab
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Co-authored-by: ZanSara <sarazanzo94@gmail.com>
2022-04-12 16:19:03 +02:00

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What to build with Haystack

  • Ask questions in natural language and find granular answers in your own documents.
  • Perform semantic search and retrieve documents according to meaning not keywords
  • Use off-the-shelf models or fine-tune them to your own domain.
  • Use user feedback to evaluate, benchmark and continuously improve your live models.
  • Leverage existing knowledge bases and better handle the long tail of queries that chatbots receive.
  • Automate processes by automatically applying a list of questions to new documents and using the extracted answers.

Logo

Core Features

  • Latest models: Utilize all latest transformer based models (e.g. BERT, RoBERTa, MiniLM) for extractive QA, generative QA and document retrieval.
  • Modular: Multiple choices to fit your tech stack and use case. Pick your favorite database, file converter or modeling framwework.
  • Open: 100% compatible with HuggingFace's model hub. Tight interfaces to other frameworks (e.g. Transformers, FARM, sentence-transformers)
  • Scalable: Scale to millions of docs via retrievers, production-ready backends like Elasticsearch / FAISS and a fastAPI REST API
  • End-to-End: All tooling in one place: file conversion, cleaning, splitting, training, eval, inference, labeling ...
  • Developer friendly: Easy to debug, extend and modify.
  • Customizable: Fine-tune models to your own domain or implement your custom DocumentStore.
  • Continuous Learning: Collect new training data via user feedback in production & improve your models continuously
📒 Docs Usage, Guides, API documentation ...
🔰 Quick Demo Quickly see what Haystack offers
💾 Installation How to install Haystack
🎨 Key Components Overview of core concepts
🎓 Tutorials Jupyter/Colab Notebooks & Scripts
👀 How to use Haystack Basic explanation of concepts, options and usage
❤️ Contributing We welcome all contributions!
📊 Benchmarks Speed & Accuracy of Retriever, Readers and DocumentStores
🔭 Roadmap Public roadmap of Haystack
🙏 Slack Join our community on Slack
🐦 Twitter Follow us on Twitter for news and updates
📰 Blog Read our articles on Medium

Quick Demo

The quickest way to see what Haystack offers is to start a Docker Compose demo application:

1. Update/install Docker and Docker Compose, then launch Docker

    # apt-get update && apt-get install docker && apt-get install docker-compose
    # service docker start

2. Clone Haystack repository

    # git clone https://github.com/deepset-ai/haystack.git