llama-index-vector-stores-rostam

LlamaIndex vector store integration for Rostam — a high-performance vector database and sub-microsecond key-value store in a single Go engine.

pip install llama-index-vector-stores-rostam

from llama_index.core import VectorStoreIndex, StorageContext
from llama_index.vector_stores.rostam import RostamVectorStore

vector_store = RostamVectorStore(url="http://localhost:8080", collection="docs")
storage_context = StorageContext.from_defaults(vector_store=vector_store)
index = VectorStoreIndex.from_documents(documents, storage_context=storage_context)

Run a Rostam server:

docker run -p 8080:8080 -e ROSTAM_API_KEY=secret ghcr.io/rostamlabs/rostam:latest

RostamVectorStore implements LlamaIndex's BasePydanticVectorStore. The implementation ships in the rostam-client package; this package re-exports it under the conventional llama_index.vector_stores.rostam namespace.

See the Rostam docs for indexes, hybrid search, and filtering. Apache-2.0.

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Credits

Author: RostamLabs

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Data verified by PyPI on Aug 27, 2026
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Apache-2.0
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Requires

Python >=3.9

Tags

database llama-index llamaindex rag rostam vector

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