mirror of
https://github.com/semantica-agi/semantica.git
synced 2026-08-29 04:26:20 +00:00
Derek TapleyandCursor
f0aa581318
* feat(integrations): add LangChain integration — retriever, vectorstore, tools Co-authored-by: Cursor <cursoragent@cursor.com> * fix(langchain): address Qodo review on HybridSearch hits and tools Read nested HybridSearch metadata so retriever/vectorstore Documents are not empty, make the agent tools real BaseTool subclasses, and stop slicing tool JSON into invalid payloads. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""
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Semantica × LangChain Integration
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=================================
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First-class integration between the Semantica semantic intelligence stack and
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the `LangChain <https://github.com/langchain-ai/langchain>`_ / LangGraph
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ecosystem.
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Public surface
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--------------
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SemanticaRetriever — ``BaseRetriever`` with multi-hop GraphRAG (walks graph
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edges from hybrid-search hits)
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SemanticaVectorStore — ``VectorStore`` adapter over Semantica's hybrid search
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(drop-in for RetrievalQA / LCEL chains)
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SemanticaKGTool — ``BaseTool`` for querying the context graph
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SemanticaDecisionTool — ``BaseTool`` exposing the recorded decision log
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Quick start
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-----------
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pip install semantica[langchain]
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>>> from integrations.langchain import (
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... SemanticaRetriever,
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... SemanticaVectorStore,
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... SemanticaKGTool,
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... SemanticaDecisionTool,
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... )
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Compatibility
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-------------
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Requires ``langchain-core >= 0.3``. All classes degrade gracefully when
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``langchain-core`` is not installed — they are still importable and carry the
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full Semantica API, but cannot be bound to LangChain chains/agents.
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"""
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from .retriever import LANGCHAIN_AVAILABLE, SemanticaRetriever
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from .tools import SemanticaDecisionTool, SemanticaKGTool
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from .vectorstore import SemanticaVectorStore
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__all__ = [
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"SemanticaRetriever",
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"SemanticaVectorStore",
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"SemanticaKGTool",
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"SemanticaDecisionTool",
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"LANGCHAIN_AVAILABLE",
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]
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__version__ = "0.1.0"
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