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The
max_triplets_per_chunk
parameter in LlamaIndex's
KnowledgeGraphIndex.from_documents()
function determines the maximum number of triplets that can be included in a single chunk of data.
A triplet in this context is a set of three elements (subject, predicate, object) that represents a fact or a relationship in the knowledge graph. For example, in the statement "Alice is the mother of Bob", "Alice" is the subject, "is the mother of" is the predicate, and "Bob" is the object. This statement would be one triplet.
When LlamaIndex processes a large amount of data, it breaks the data into smaller chunks to make it more manageable. The
max_triplets_per_chunk
parameter controls the size of these chunks in terms of the number of triplets.
If you set
max_triplets_per_chunk
to a higher value, each chunk will contain more triplets, which means fewer chunks will be created. This could make the indexing process faster, but it could also consume more memory and make the individual chunks harder to work with.
On the other hand, if you set
max_triplets_per_chunk
to a lower value, each chunk will contain fewer triplets, which means more chunks will be created. This could make the indexing process slower, but it could also consume less memory and make the individual chunks easier to work with.
Here's an example of how you might use this parameter:
index = KnowledgeGraphIndex.from_documents(
documents,
max_triplets_per_chunk=2,
include_embeddings=True,
)
In this example, each chunk will contain a maximum of 2 triplets.
For more information on how to use LlamaIndex, you can refer to the
LlamaIndex Documentation ().
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