[Feature] Support hybrid file-index queries with full-text search, vector search, and predicate
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還沒有人認領這個 Issue。
評估
研究方向
Start by reading the existing Predicate hierarchy and separate search request implementations to see how file indexes currently handle filtering and TopK. The issue proposes retaining Predicate for filters and making TopK a separate root operation, but gives no file names or acceptance tests. Done means nested Boolean predicates, full-text matching, and vector or full-text TopK queries preserve the full expression, use available indexes, and fall back to exact scalar evaluation.
由索引模型根據 Issue 內容生成。
描述
Search before asking
- I searched in the issues and found nothing similar.
Motivation
We want to support hybrid queries that combine scalar predicates, full-text matching predicates, and vector or full-text TopK search through file indexes.
The existing separate search requests do not provide a unified way to express and execute nested filtering expressions such as:
(price < 10 AND MATCH(body, "apple")) OR (price < 15 AND MATCH(body, "orange"))
These filters should also be usable as the input to a vector or full-text TopK search. Execution should preserve the complete Boolean expression, use available indexes, and fall back to exact scalar evaluation where necessary.
The proposal reuses the existing Predicate hierarchy for filtering and keeps TopK as a separate root operation.
Solution
No response
Anything else?
No response
Are you willing to submit a PR?
- I'm willing to submit a PR!
- 主要語言
- C++
- 星號
- 68
- 分支
- 34
- 平均合併
- 3 天 20 小時
- 30 天內合併 PR
- 35
環境準備
- 沒有 Dockerfile 或 Docker Compose 檔案
- 有 Pull Request 範本
- 閱讀貢獻指南
從這裡開始
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- Fork 儲存庫，在一個分支上完成修改。
- 送出 Pull Request，並在描述裡引用這個 Issue 編號。
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