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.