Skip to main content

Upsert Objects

upsertIntoVectorIndex API

With upsertIntoVectorIndex, you can insert and update objects in a vector index. It uses a vector index, an embedding model, and a funtion to determine the value to embed for each object.

Example​

const texts = [
  "A rainbow is an optical phenomenon that can occur under certain meteorological conditions.",
  "It is caused by refraction, internal reflection and dispersion of light in water droplets resulting in a continuous spectrum of light appearing in the sky.",
  // ...
];

const vectorIndex = new MemoryVectorIndex<string>();

await upsertIntoVectorIndex({
  vectorIndex,
  embeddingModel: openai.TextEmbedder({
    model: "text-embedding-ada-002",
  }),
  objects: texts,
  getValueToEmbed: (text) => text,
});

// vectorIndex now contains the embeddings of the texts and the texts themselves