TigerGraph
TigerGraph is a natively distributed and high-performance graph database. The storage of data in a graph format of vertices and edges leads to rich relationships, ideal for grouding LLM responses.
A big example of the TigerGraph and LangChain integration presented here.
Installation and Setup
Follow instructions how to connect to the TigerGraph database.
Install the Python SDK:
pip install pyTigerGraph
Example
To utilize the TigerGraph InquiryAI functionality, you can import TigerGraph from langchain_community.graphs.
import pyTigerGraph as tg
conn = tg.TigerGraphConnection(host="DATABASE_HOST_HERE", graphname="GRAPH_NAME_HERE", username="USERNAME_HERE", password="PASSWORD_HERE")
### ==== CONFIGURE INQUIRYAI HOST ====
conn.ai.configureInquiryAIHost("INQUIRYAI_HOST_HERE")
from langchain_community.graphs import TigerGraph
graph = TigerGraph(conn)
result = graph.query("How many servers are there?")
print(result)