Confused about the sample code

[zjffdu]

It looks like the graph is built manually in the sample code. I previously thought the graph is built by LLM. If the knowledge is built manually, then what does knowledge graph studio do? Does knowledge graph studio focus on knowledge exploration and retrieval ?

# Create triple(s)
triples = [
    Triple(
        head=Node(
            name="Sam Altman",
            label="Person",
            properties={"title": "CEO"}
        ),
        relation=Relation(
            name="runs",
        ),
        tail=Node(
            name="OpenAI",
            label="Business",
            properties={"market cap": "$157 Billion"}
        ),
        chunk_ids=[c.chunk_id for c in chunk]
    )
]

[tomsmoker]

@zjffdu yes, the studio is a repository (with an SDK) for structured data, which can be partitioned, embedded and queried. We also have a no-code frontend that can be used to explore and for question answering.

In our SDK docs (https://whyhow-ai.github.io/whyhow-sdk-docs/) you can see the various methods in which to create a graph. We have our own, but given the variety of methods and preferences in the community we support all that conform to our Pydantic models. They're open source and documented in our SDK, and the above is an example of that structure. Thanks!

[xiao-zaiyi]

We also have a no-code frontend that can be used to explore and for question answering? I didn't see where the code in this part is? Is this the source? I hope to reply