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ToraDB ships a minimal LangChain-compatible vector store in toradb.integrations.

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Example

import toradb
from toradb.integrations import ToraDBVectorStore

db = toradb.local("./my_db")
articles = db.table("articles")

store = ToraDBVectorStore.from_table(articles)
store.add_texts([
    "Nikola Tesla envisioned worldwide wireless power distribution",
])
hits = store.similarity_search("wireless power Tesla", k=2)
print(hits)
The adapter delegates search to the underlying ToraDB table BM25 / hybrid pipeline.

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Requirements

Install ToraDB with Install. LangChain itself is optional; import only what your app needs. For a full walkthrough, run python examples/full_example.py (section 16).