Read-JSON pipeline

What this builds. A pipeline that takes a JSON string as input, extracts the hello and hi keys via ReadJsonValuesNode, and exposes them as two separate output nodes. You’ll end up with. A saved pipeline with result returning the full extracted-values dict and result_2 returning just the value at hello.

from vectorshift import Pipeline

# Fetch the pipeline if it already exists, otherwise create it
PIPELINE_NAME = "read-json-pipeline"
try:
    pipeline = Pipeline.fetch(name=PIPELINE_NAME)
    print(f"Pipeline fetched: id={pipeline.id}, branch_id={pipeline.branch_id}")
except Exception as e:
    print(f"Error fetching pipeline: {e}")
    pipeline = Pipeline.new(name=PIPELINE_NAME)
    print(f"Pipeline created: id={pipeline.id}, branch_id={pipeline.branch_id}")

string_input = pipeline.add(name="query").input(input_type="string")
read_json_node = pipeline.add(name="read_json").read_json_values(
    json_string=string_input.text,
    keys=["hello", "hi"],
    processed_outputs={},
)
pipeline.add(name="result").output(
    output_type="string", value=read_json_node.json_values
)
pipeline.add(name="result_2").output(
    output_type="string", value=read_json_node.hello
)

pipeline.save()

Expected output

This script does not print anything — successful execution simply re-saves the pipeline. Run it against an input like {"hello": "world", "hi": "there"} and inspect outputs in the dashboard.

Create-list pipeline

Build a list inside a pipeline instead of parsing one out.

Text processing pipeline

Combine and reformat strings between nodes.

Pipeline reference

Full method surface.

RAG pipeline Create-list pipeline

Get started

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Expected output

See also

Create-list pipeline

Text processing pipeline

Pipeline reference

​Expected output

​See also

Create-list pipeline

Text processing pipeline

Pipeline reference

Expected output

See also