- Recipes
- OpenAI prompt to Elasticsearch
Connect OpenAI prompt and Elasticsearch in our serverless environment
Use this template to Get OpenAI prompt responses using them to insert rows into Elasticsearch table.
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Get OpenAI prompt responses
Used integrations:
JavaScript
Python
class OpenaiSourceGetPromptResponse {
async init() {
// TODO: Create your OpenAI credential
// More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
this.openai = yepcode.integration.openai("your-openai-credential-name");
}
async fetch(publish, done) {
// TODO: Configure your prompt
const funnyPrompts = [
"What do you think of humans?",
"Do you prefer tabs or spaces?",
"What's the meaning of life, the universe, and everything?",
"What's your favorite programming joke?",
"What's the worst code you've ever seen?"
];
// More info at: https://platform.openai.com/docs/api-reference/completions/create
const completion = await this.openai.createCompletion({
model: "text-davinci-003",
prompt: funnyPrompts,
max_tokens: 7,
temperature: 0,
});
for (const choice of completion.data.choices) {
await publish(choice);
}
done();
}
async close() {}
}
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Let's talkInsert rows into Elasticsearch table
Used integrations:
JavaScript
Python
class ElasticsearchTargetInsert {
async init() {
// TODO: Create your clickhouse credential
// More info at https://yepcode.io/docs/integrations/elasticsearch/#credential-configuration
this.elasticsearch = yepcode.integration.elasticsearch(
"your-elasticsearch-credential-name"
);
}
async consume(item) {
// TODO: Map your item to row
await this.elasticsearch.index({
index: "your_table_name",
document: item,
});
}
async close() {}
}
class ElasticsearchTargetInsert:
def setup(self):
# TODO: Create your elasticsearch credential
# More info at https://yepcode.io/docs/integrations/elasticsearch/#credential-configuration
self.elasticsearch = yepcode.integration.elasticsearch("your-elasticsearch-credential-name")
def consume(self, generator, done):
for item in generator:
self.process(item)
done()
def process(self, item):
# TODO: Customize your index name
self.elasticsearch.index(index="index-name", document=item)
def close(self):
pass
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