To store the results of a search in Haystack, you start by executing a search query through Haystack's querying framework. Once you have your search results, you can save them for later use or additional processing. The general practice involves first using Haystack's predefined search or filter methods to get the results you need. For example, if you are using a document store like Elasticsearch, you can perform a search query and retrieve the documents that meet your criteria using the search method.
After executing your search, the next step is to capture the results returned. The output will typically be in the form of a list of documents or data entries, depending on your query. You will want to store these results in a structured format for easy access later. This can be done using simple data structures like Python lists or dictionaries, or you may opt to save them in a database or file if you wish to keep them long-term. For immediate use, storing results in a cache like Redis could also be an option, especially if you need to retrieve them quickly after the initial search.
Finally, if you need to ensure these results are permanently recorded, you can write them to a database using an ORM like SQLAlchemy or directly using SQL commands. Alternatively, results can be serialized into a JSON or CSV file for future ingestion or reporting. This way, you maintain flexibility in how you access and utilize the search output. Whether opting for temporary storage in memory or a more durable solution, the key is to keep it structured and accessible for your ongoing needs.