community[minor]: add TigerGraph support (#16280)

**Description:** Add support for querying TigerGraph databases through
the InquiryAI service.
**Issue**: N/A
**Dependencies:** N/A
**Twitter handle:** @TigerGraphDB

docs/docs/integrations/providers/tigergraph.mdx

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+# 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](https://tigergraph.com/).
+
+## 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`.
+
+```python
+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)
+```
+