Skip to main content

TigerGraph

This page covers how to use the TigerGraph ecosystem within LangChain.

What is TigerGraph?

TigerGraph in a nutshell:

  • 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.
  • Get started quickly with TigerGraph by visiting their website.

Installation and Setup​

  • Install the Python SDK with pip install pyTigerGraph

Wrappers​

TigerGraph Store​

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)

Help us out by providing feedback on this documentation page: