spring-projects / spring-projects/spring-ai

Add metadata filter support to gemfire vector store

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gemfire
Dominant language
Java
Stars
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Forks
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Avg merge
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Merged PRs (30d)
6

Description

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the metadata-filter requirements in the linked Spring AI vector database documentation, then locate the GemFire vector store implementation in this repository. No file, test, or entry point is named in the issue, so inspect comparable vector store implementations before defining the change. Done means GemFire supports the documented metadata-filter behavior and the relevant tests pass.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
databases
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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