import app from "../../pinecone.app.mjs";
import utils from "../../common/utils.mjs";
export default {
key: "pinecone-query-ids",
name: "Query IDs",
description: "Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/query).",
type: "action",
version: "0.0.2",
props: {
app,
indexName: {
propDefinition: [
app,
"indexName",
],
},
topK: {
type: "integer",
label: "Top K",
description: "The number of results to return. E.g. `10`",
min: 1,
max: 10000,
default: 10,
},
filter: {
type: "object",
label: "Filter",
description: "The filter to apply. You can use vector metadata to limit your search. For guidance and examples, see [filtering-with-metadata](https://docs.pinecone.io/guides/data/filtering-with-metadata).",
optional: true,
},
includeValues: {
type: "boolean",
label: "Include Values",
description: "Whether to include the vector values in the response.",
optional: true,
},
includeMetadata: {
type: "boolean",
label: "Include Metadata",
description: "Whether to include the vector metadata in the response.",
optional: true,
},
namespace: {
propDefinition: [
app,
"namespace",
],
},
id: {
optional: true,
description: `${app.propDefinitions.vectorId.description} Each request can contain only one of the parameters either **Vector ID** or **Vector Values**.`,
propDefinition: [
app,
"vectorId",
],
},
vector: {
description: `${app.propDefinitions.vectorValues.description} Each request can contain only one of the parameters either **Vector Values** or **Vector ID**.`,
propDefinition: [
app,
"vectorValues",
],
},
},
methods: {
query(args = {}) {
return this.app.post({
path: "/query",
...args,
});
},
},
async run({ $: step }) {
const {
query,
indexName,
id,
vector,
topK,
filter,
includeValues,
includeMetadata,
namespace,
} = this;
const vectorParsed = utils.parseArray(vector);
const response = await query({
step,
indexName,
data: {
id,
...(vectorParsed.length && {
vector: vectorParsed,
}),
topK,
filter: utils.parse(filter),
includeValues,
includeMetadata,
namespace,
},
});
step.export("$summary", `Successfully queried ${response.matches.length} matches.`);
return response;
},
};
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