Oil Rig Demo Notebook: Dgraph x Vector DB x LangChain

[dshekhar95]

Added Oil Rig Demo using pydgraph client with setup/config instructions

This demo illustrates 2 Dgraph x Vector DB x LLM use cases

1. Upon Oil Rig insert into dgraph and embedding is generated for Issues and stored in the vector db (Qdrant in this case). Then with a custom query we can query for similar Issues.

2. Utilizing LangChain we create an LLM powered Agent that can write/execute/read the response of GraphQL queries in order to answer questions on our data.

ToDo: We have integrated LangSmith beta as well to be able to inspect/debug/optimize our agent. We want to further explore this area to create a framework for creating Text2GraphQL Agents across use cases

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