Selector

📸 Screenshots

Here are visual examples of this section:

Documentselector - Worker Configuration Interface

The Documentselector Worker is an AI worker that uses a language model to select and prioritize relevant documents from a given set of documents based on a provided question and context. This worker is especially useful in applications where there is a need to filter and prioritize information from a large set of documents.

2. Configuration Parameters

The worker has the following configuration parameters:

results: An optional parameter that specifies the number of results to return. If not provided, the default value is 8.

3. Input/Output Handles

The worker has the following input/output fields:

input: The input question that will be used to search the documents.
output: The output field where the search results will be stored.
prompt: An optional prompt that can be used to guide the search.
documents: The documents that will be searched.

4. Usage Examples with Code

Here is an example of how to use the Documentselector Worker:

const worker = new DocumentSelectorWorker();
worker.fields.input.value = "What is the capital of France?";
worker.fields.documents.value = [
  {title: "France", body: "The capital of France is Paris."},
  {title: "Germany", body: "The capital of Germany is Berlin."},
  // More documents...
];
worker.parameters.results = 5;
await worker.execute();
console.log(worker.fields.output.value);

In this example, the worker will search the documents for the answer to the question "What is the capital of France?" and store the results in the output field.

5. Integration Examples

The Documentselector Worker can be integrated into any application that needs to filter and prioritize information from a large set of documents. For example, it can be used in a chatbot application to provide relevant answers to user questions based on a set of pre-defined documents.

6. Best Practices

Ensure that the input question is clear and specific.
Provide a prompt if possible to guide the search.
Ensure that the documents are well-structured and contain relevant information.

7. Troubleshooting Tips

If the worker is not returning any results, check that the input question and documents are correctly set.
If the worker is returning too many or too few results, adjust the results parameter.
If the worker is not prioritizing the documents correctly, check the prompt and the structure of the documents.