rename to vector_size for better semantics

This commit is contained in:
Yasien Dwieb 2025-07-19 12:36:38 +03:00
parent cea3f8ed8a
commit c3fc968f68

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@ -70,7 +70,7 @@ export default function VectorStoreTabs(props) {
{
value: "Qdrant",
label: "Qdrant",
text: `from qdrant_client.models import Distance, VectorParams\nfrom langchain_qdrant import QdrantVectorStore\nfrom qdrant_client import QdrantClient\n${useFakeEmbeddings ? fakeEmbeddingsString : ""}\nclient = QdrantClient(":memory:")\n\nembedding_dimension = len(embeddings.embed_query("sample text"))\n\nclient.create_collection(\n collection_name="test",\n vectors_config=VectorParams(size=embedding_dimension, distance=Distance.COSINE)\n)\n${vectorStoreVarName} = QdrantVectorStore(\n client=client,\n collection_name="test",\n embedding=embeddings,\n)`,
text: `from qdrant_client.models import Distance, VectorParams\nfrom langchain_qdrant import QdrantVectorStore\nfrom qdrant_client import QdrantClient\n${useFakeEmbeddings ? fakeEmbeddingsString : ""}\nclient = QdrantClient(":memory:")\n\nvector_size = len(embeddings.embed_query("sample text"))\n\nclient.create_collection(\n collection_name="test",\n vectors_config=VectorParams(size=vector_size, distance=Distance.COSINE)\n)\n${vectorStoreVarName} = QdrantVectorStore(\n client=client,\n collection_name="test",\n embedding=embeddings,\n)`,
packageName: "langchain-qdrant",
default: false,
},