Haystack is an open-source framework by deepset.ai designed to help developers build powerful and scalable search systems. It is particularly useful for applications that require semantic search, question-answering, and retrieval-augmented generation over large document collections.
Key features of Haystack include:
- Modular Design: Easily combine different components like retrievers, readers, and generators to create custom search pipelines.
- Support for Multiple Databases: Works with various document stores such as Elasticsearch, FAISS, and Milvus.
- Pre-trained Models: Integrates with state-of-the-art models from Hugging Face and other providers for tasks like embedding generation and text understanding.
- Scalability: Designed to handle large-scale deployments with efficient indexing and querying capabilities.
- Flexible Deployment: Can be deployed on-premises or in the cloud, and supports REST APIs for easy integration with other services.
Haystack is widely used in enterprises and research for building intelligent search applications, chatbots, and knowledge management systems.