Document Search by Metadata
For documents that can be easily distinguished by metadata, we recommend using metadata to search the documents. This method is ideal for the following document types:
- Financial reports categorized by company and time period
- Legal documents categorized by case type
- Medical records categorized by patient or condition
- And many others
In such cases, you can search documents by leveraging their metadata. A popular method is to use "Query to SQL" for document retrieval.
Example Pipeline
PageIndex Tree Generation
Upload all documents into PageIndex to get their doc_id.
Set up SQL tables
Store documents along with their metadata and the PageIndex doc_id in a database table.
Query to SQL
Use an LLM to transform a user's retrieval request into a SQL query to fetch relevant documents.
Retrieve with PageIndex
Use the PageIndex doc_id of the retrieved documents to perform further retrieval via the PageIndex retrieval API.