https://github.com/sap/langchain-integration-for-sap-hana-cloud
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.
https://github.com/sap/langchain-integration-for-sap-hana-cloud
hana langchain sap sap-hana-cloud
Last synced: 3 months ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/sap/langchain-integration-for-sap-hana-cloud
- Owner: SAP
- License: apache-2.0
- Created: 2025-01-10T16:58:38.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-02-13T09:02:47.000Z (3 months ago)
- Last Synced: 2025-02-13T09:35:52.974Z (3 months ago)
- Topics: hana, langchain, sap, sap-hana-cloud
- Language: Python
- Size: 99.6 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://api.reuse.software/info/github.com/SAP/langchain-integration-for-sap-hana-cloud)
# LangChain integration for SAP HANA Cloud
## About this project
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.
## Requirements and Setup
### Prerequisites
- **Python Environment**: Ensure you have Python 3.9 or higher installed.
- **SAP HANA Cloud**: Access to a running SAP HANA Cloud instance.
### Installation
Install the LangChain SAP HANA Cloud integration package using `pip`:
```bash
pip install -U langchain-sap-hana-cloud
```
### Setting Up Vectorstore
The `HanaDB` class is used to connect to SAP HANA Cloud Vector Engine.
Here’s how to set up the connection and initialize the vector store:
```python
from langchain_sap_hana_cloud import HanaDB
from hdbcli import dbapi
# use a LangChain Embeddings class
embeddings = ...
# Establish the SAP HANA Cloud connection
connection = dbapi.connect(
address="",
port=3MM,
user="",
password=""
)
# Initialize the HanaDB vector store
vectorstore = HanaDB(
connection=connection,
embeddings=embeddings,
table_name="" # Optional: Default is "EMBEDDINGS"
)
```
## Support, Feedback, Contributing
This project is open to feature requests/suggestions, bug reports etc. via [GitHub issues](https://github.com/SAP/langchain-integration-for-sap-hana-cloud/issues). Contribution and feedback are encouraged and always welcome. For more information about how to contribute, the project structure, as well as additional contribution information, see our [Contribution Guidelines](CONTRIBUTING.md).
## Security / Disclosure
If you find any bug that may be a security problem, please follow our instructions at [in our security policy](https://github.com/SAP/langchain-integration-for-sap-hana-cloud/security/policy) on how to report it. Please do not create GitHub issues for security-related doubts or problems.
## Code of Conduct
We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone. By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/SAP/.github/blob/main/CODE_OF_CONDUCT.md) at all times.
## Licensing
Copyright 2025 SAP SE or an SAP affiliate company and langchain-integration-for-sap-hana-cloud contributors. Please see our [LICENSE](LICENSE) for copyright and license information. Detailed information including third-party components and their licensing/copyright information is available [via the REUSE tool](https://api.reuse.software/info/github.com/SAP/langchain-integration-for-sap-hana-cloud).