Hello, I'm experimenting with a tool that matches candidates to job listings (roughly ~200k listings usually), I'm seeing a very strong degradation in performance as the

query

field grows in size, the below query returns 11 results out of 200k, where using

exhaustiveSearch

returns many more, but often crashes or times out. Is there any best practices I can look at to improve the performance of a query like this? Maybe using vector search instead?

{
  "indexName": "listings",
  "query": "Software Engineer III Technologies: React.js, Next.js, TypeScript, Redux, Python, Node.js, GraphQL, JavaScript React.js Next.js TypeScript Jest Playwright Cypress Redux Python Node.js GraphQL PNPM SQL JavaScript CSS HTML",
  "queryBy": "jobTitle,jobSummary,requiredSkills",
  "queryByWeights": "3,2,1",
  "sortBy": "_text_match:desc",
  "includeFields": [
    "jobTitle",
    "jobSummary",
    "requiredSkills",
    "createdAt"
  ],
  "prefix": "false,false,true",
  "perPage": 10,
  "page": 1
}