Thread by @llama_index

We now have the most comprehensive cookbook on building LLMs with Knowledge Graphs (credits @wey_gu).
✅ Key query techniques: text2cypher, graph RAG
✅ Automated KG construction
✅ vector db RAG vs. KG RAG

Check out the full 1.5 hour tutorial:

The full Colab notebook is here:

There was so much content beyond the live webinar that we recorded a part 2 🔥

We stitched it together in the video.colab.research.google.com/drive/1tLjOg2Z…

To reiterate, there’s a ton of content in here - it basically qualifies as a mini-course 🧑‍🏫

First, we learn the concepts through helpful visual explanations and links.

Learn both about KGs and the traditional RAG stack.

Then, we walk through full code blocks to run through the main aspects of using LLMs during KG construction and querying.

Use @llama_index to help with automated KG construction. Then text-to-cypher and Graph RAG for querying.

Finally, we have full application demos and comparisons with traditional vector db RAG approaches.

Did we mention that @wey_gu is incredible? Full credits go to him 🙌