Exploring Market Intelligence Data with Graphlit, Reddit and OpenAI LLMs

This article explains how to leverage unstructured data from Reddit, APIs, and LLMs from Azure and OpenAI to build a conversational knowledge graph in Graphlit. The knowledge graph can be used to explore unstructured data and gather business insights for domain-specific applications. The process involves ingesting Reddit posts into Graphlit, extracting 'observed entities' from the text, creating an LLM specification, and using GraphQL queries and mutations. The article provides detailed examples of how to create a conversation with a 'slice' of the Graphlit Knowledge Graph, use LLM for sentiment analysis, and repurpose content into new formats like tweets.

Key takeaways

The goal is to use unstructured data from Reddit, APIs, and LLMs from Azure and OpenAI to build a conversational knowledge graph in Graphlt, which can be used to gather business insights.
After ingesting Reddit posts into Graphlt, a Language Learning Model (LLM) specification is created to configure the LLM service, model, and parameters.
The LLM can be used for sentiment analysis, asking for perception from the text provided to the LLM.
The extracted insights can be repurposed for various needs, like summarization or Tweets, and the cited sources can be displayed in the UI of an application built on top of Graphlit.

Exploring Market Intelligence Data with Graphlit, Reddit and OpenAI LLMs - Graphlit

Key takeaways

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