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Edits history of script submission #343 for ' Create Index (pinecone)'

  • deno
    import { removeObjectEmptyFields } from "https://deno.land/x/[email protected]/mod.ts";
import { PineconeClient } from "npm:@pinecone-database/pinecone";

/**
 * @param name The name of the index to be created. The maximum length is 45 characters.
 *
 * @param dimension The dimensions of the vectors to be inserted in the index.
 *
 * @param metric _(Optional)_ The distance metric to be used for similarity search.
 *
 * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
 *
 * @param replicas _(Optional)_ The number of replicas.
 *
 * @param pod_type _(Optional)_ The pod type for the index.
 * `s1`: Best storage capacity.
 * `p1`: Faster queries.
 * `p2`: Lowest latency and highest throughput.
 *
 * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
 * If `pod_type` is not set, this will be ignored.
 *
 * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
 * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
 *
 * @param source_collection _(Optional)_ The name of the collection to create an index from.
 */
type Pinecone = {
  apiKey: string;
  environment: string;
};
export async function main(
  auth: Pinecone,
  name: string,
  dimension: number,
  metric?: "" | "euclidean" | "cosine" | "dotproduct",
  pods?: number,
  replicas?: number,
  pod_type?: "" | "s1" | "p1" | "p2",
  pod_size?: "" | "x1" | "x2" | "x4" | "x8",
  metadata_config?: Record<string, string>,
  source_collection?: number,
) {
  const client = new PineconeClient();
  await client.init(auth);

  const createRequest = removeObjectEmptyFields({
    name,
    dimension,
    metric,
    pods,
    replicas,
    pod_type: pod_type ? `${pod_type}.${pod_size || "x1"}` : undefined,
    metadata_config,
    source_collection,
  });
  return await client.createIndex({ createRequest });
}

    Submitted by hugo697 399 days ago

  • deno
    import { removeObjectEmptyFields } from "https://deno.land/x/[email protected]/mod.ts";
import { PineconeClient } from "npm:@pinecone-database/pinecone";

/**
 * @param name The name of the index to be created. The maximum length is 45 characters.
 *
 * @param dimension The dimensions of the vectors to be inserted in the index.
 *
 * @param metric _(Optional)_ The distance metric to be used for similarity search.
 *
 * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
 *
 * @param replicas _(Optional)_ The number of replicas.
 *
 * @param pod_type _(Optional)_ The pod type for the index.
 * `s1`: Best storage capacity.
 * `p1`: Faster queries.
 * `p2`: Lowest latency and highest throughput.
 *
 * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
 * If `pod_type` is not set, this will be ignored.
 *
 * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
 * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
 *
 * @param source_collection _(Optional)_ The name of the collection to create an index from.
 */
type Pinecone = {
  apiKey: string;
  environment: string;
};
export async function main(
  auth: Pinecone,
  name: string,
  dimension: number,
  metric?: "" | "euclidean" | "cosine" | "dotproduct",
  pods?: number,
  replicas?: number,
  pod_type?: "" | "s1" | "p1" | "p2",
  pod_size?: "" | "x1" | "x2" | "x4" | "x8",
  metadata_config?: Record<string, string>,
  source_collection?: number,
) {
  const client = new PineconeClient();
  await client.init(auth);

  const createRequest = removeObjectEmptyFields({
    name,
    dimension,
    metric,
    pods,
    replicas,
    pod_type: pod_type ? `${pod_type}.${pod_size || "x1"}` : undefined,
    metadata_config,
    source_collection,
  });
  return await client.createIndex({ createRequest });
}

    Submitted by admin 1031 days ago

  • deno
    import { removeObjectEmptyFields } from "https://deno.land/x/[email protected]/mod.ts";
import { PineconeClient } from "npm:@pinecone-database/pinecone";

/**
 * @param name The name of the index to be created. The maximum length is 45 characters.
 * 
 * @param dimension The dimensions of the vectors to be inserted in the index.
 * 
 * @param metric _(Optional)_ The distance metric to be used for similarity search.
 * 
 * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
 * 
 * @param replicas _(Optional)_ The number of replicas.
 * 
 * @param pod_type _(Optional)_ The pod type for the index.
 * `s1`: Best storage capacity.
 * `p1`: Faster queries.
 * `p2`: Lowest latency and highest throughput.
 * 
 * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
 * If `pod_type` is not set, this will be ignored.
 * 
 * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
 * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
 * 
 * @param source_collection _(Optional)_ The name of the collection to create an index from.
 */
type Pinecone = {
  apiKey: string;
  environment: string;
};
export async function main(
  auth: Pinecone,
  name: string,
  dimension: number,
  metric?: '' | 'euclidean' | 'cosine' | 'dotproduct',
  pods?: number,
  replicas?: number,
  pod_type?: '' | 's1' | 'p1' | 'p2',
  pod_size?: '' | 'x1' | 'x2' | 'x4' | 'x8',
  metadata_config?: Record<string, string>,
  source_collection?: number,
) {
  const client = new PineconeClient();
  await client.init(auth);

  const createRequest = removeObjectEmptyFields({
    name,
    dimension,
    metric,
    pods,
    replicas,
    pod_type: pod_type ? `${pod_type}.${pod_size || 'x1'}` : undefined,
    metadata_config,
    source_collection
  })
  return await client.createIndex({ createRequest });
}

    Submitted by admin 1034 days ago

  • deno
    import { Resource } from "https://deno.land/x/[email protected]/mod.ts";
import { removeObjectEmptyFields } from "https://deno.land/x/[email protected]/mod.ts";
import { PineconeClient } from "npm:@pinecone-database/pinecone";

/**
 * @param name The name of the index to be created. The maximum length is 45 characters.
 * 
 * @param dimension The dimensions of the vectors to be inserted in the index.
 * 
 * @param metric _(Optional)_ The distance metric to be used for similarity search.
 * 
 * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
 * 
 * @param replicas _(Optional)_ The number of replicas.
 * 
 * @param pod_type _(Optional)_ The pod type for the index.
 * `s1`: Best storage capacity.
 * `p1`: Faster queries.
 * `p2`: Lowest latency and highest throughput.
 * 
 * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
 * If `pod_type` is not set, this will be ignored.
 * 
 * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
 * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
 * 
 * @param source_collection _(Optional)_ The name of the collection to create an index from.
 */
export async function main(
  auth: Resource<"pinecone">,
  name: string,
  dimension: number,
  metric?: '' | 'euclidean' | 'cosine' | 'dotproduct',
  pods?: number,
  replicas?: number,
  pod_type?: '' | 's1' | 'p1' | 'p2',
  pod_size?: '' | 'x1' | 'x2' | 'x4' | 'x8',
  metadata_config?: Record<string, string>,
  source_collection?: number,
) {
  const client = new PineconeClient();
  await client.init(auth);

  const createRequest = removeObjectEmptyFields({
    name,
    dimension,
    metric,
    pods,
    replicas,
    pod_type: pod_type ? `${pod_type}.${pod_size || 'x1'}` : undefined,
    metadata_config,
    source_collection
  })
  return await client.createIndex({ createRequest });
}

    Submitted by adam186 1149 days ago

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