langchain-rostam
LangChain VectorStore
integration for Rostam — a high-performance vector
database and sub-microsecond key-value store in a single Go engine.
pip install langchain-rostam
from langchain_rostam import RostamVectorStore
store = RostamVectorStore(
url="http://localhost:8080",
collection="docs",
embedding=my_embeddings, # any LangChain Embeddings
)
store.add_texts(["Rostam is a vector DB and KV store in one Go engine."])
docs = store.similarity_search("what is rostam?", k=5)
Run a Rostam server:
docker run -p 8080:8080 -e ROSTAM_API_KEY=secret ghcr.io/rostamlabs/rostam:latest
RostamVectorStore implements the standard LangChain VectorStore interface
(add/search/MMR/delete + metadata filtering). The implementation ships in the
rostam-client package; this package
re-exports it under the conventional langchain_rostam name.
See the Rostam docs for indexes, hybrid search, and filtering. Apache-2.0.
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