LangChain VectorStore Integration

langchain-qortex is a standalone package providing QortexVectorStore, a LangChain VectorStore backed by qortex's knowledge graph.

Install

pip install langchain-qortex

Quick start

from langchain_qortex import QortexVectorStore

# Zero-config (like Chroma.from_texts)
vs = QortexVectorStore.from_texts(texts, embedding, domain="security")
docs = vs.similarity_search("authentication", k=5)
retriever = vs.as_retriever()

# qortex extras
explore = vs.explore(docs[0].metadata["node_id"])
rules = vs.rules(concept_ids=[d.metadata["node_id"] for d in docs])
vs.feedback({docs[0].id: "accepted"})

Full documentation

See the langchain-qortex repository for the full VectorStore guide, including:

  • Standard VectorStore API (similarity_search, from_texts, as_retriever)
  • Graph exploration from search results
  • Rules auto-surfaced in query results
  • Feedback-driven learning loop
  • Evidence table of what's proven in E2E tests