Integrates LangChain with SAP HANA Cloud to make use of vector search, knowledge graph, and further in-database capabilities as part of LLM-driven applications.
- Python Environment: Ensure you have Python 3.9 or higher installed.
- SAP HANA Cloud: Access to a running SAP HANA Cloud instance.
Install the LangChain SAP HANA Cloud integration package using pip:
pip install -U langchain-hanaThe HanaDB class is used to connect to SAP HANA Cloud Vector Engine.
SAP HANA Cloud Vector Engine is a vector store fully integrated into the
SAP HANA Clouddatabase.
See a usage example.
from langchain_hana import HanaDBImportant: You can use any embedding class that inherits from
langchain_core.embeddings.Embeddings—includingHanaInternalEmbeddings, which runs SAP HANA’sVECTOR_EMBEDDING()function internally. See SAP Help for more details.
SAP HANA Cloud Vector Engine also provides a Self Query Retriever implementation using the
HanaTranslatorClass.
See a usage example.
from langchain_hana import HanaTranslatorSAP HANA Cloud Knowledge Graph Engine provides support to utilise knowledge graphs through the
HanaRdfGraphClass.
See a usage example.
from langchain_hana import HanaRdfGraphA SparqlQAChain is also provided which can be used with HanaRdfGraph for SPARQL-QA tasks.
See a usage example.
from langchain_hana import HanaSparqlQAChainFor a detailed guide on using the package, please refer to the examples here.
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