feat: Add ElasticSearch vector store support #2002
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I would like to sincerely thank the MS GraphRAG team for creating such an outstanding project. It’s truly impressive, and I’ve been very eager to use it myself. However, since the environment I work in is based entirely on ElasticSearch, I ran into compatibility limitations with the existing vector store options. To address this, I implemented ElasticSearch support myself and am submitting this PR in the hope that it can be merged into the main project.
Description
Adds ElasticSearch vector store support to GraphRAG following the existing LanceDB implementation pattern. Enables enterprise organizations with ElasticSearch infrastructure to use GraphRAG without additional vector databases.
What's Implemented
ElasticSearchVectorStore
: CompleteBaseVectorStore
interface implementationVectorStoreFactory
withelasticsearch
typeTesting
Usage
Files Changed
graphrag/vector_stores/elasticsearch.py
(+217 lines) - Core implementationtests/integration/vector_stores/test_elasticsearch.py
(+315 lines) - Testsgraphrag/vector_stores/factory.py
(+4 lines) - Factory integrationpyproject.toml
(+1 line) - DependencyImpact
Related Issues
#2001
Checklist