Yes, you can use Haystack for offline document search and batch processing. Haystack is designed to facilitate search and retrieval of documents by integrating with various backends and indexing strategies. When you want to conduct an offline document search, you can set up Haystack to index your documents locally without requiring a constant internet connection. This is particularly useful for scenarios where you have sensitive data or limited internet access.
To implement offline document search with Haystack, you can start by setting up a local instance of a suitable document store, such as Elasticsearch or FAISS, which can run on your machine or server. Once the document store is set up, you can use Haystack’s indexing capabilities to add your documents to this store. For example, if you have a batch of PDFs or text files, you can write a script to read these files and index them into your local instance, allowing you to perform searches directly against them later.
For batch processing, Haystack’s pipeline architecture allows you to efficiently process and retrieve documents. You can create a batch processing setup where documents are indexed periodically or in bulk. In practice, say you have a large dataset of research papers; you can batch-process them using Haystack to extract relevant information and store it locally. After the indexing, you can conduct searches, retrieve relevant documents, and perform other operations without needing network access, making it suitable for a wide range of applications in environments where online access is limited or not preferred.