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Read file component

As explained in Grokking AI Applications

The Read File component reads an uploaded file and outputs the text or parsed content it contains.

The Read File component is the first stage of a document-ingestion workflow. It opens a file uploaded from your machine and outputs the raw text it contains. section 4.2

In a RAG flow, connect its text output to Split Text so the document can be divided into chunks, transformed into embeddings, and stored for later retrieval. section 4.2

Use the component in a short, practical sequence:

  • Open Langflow, create a blank flow, and add Read File from the Files & Knowledge components or search box. section 4.2
  • Click Select Files, upload a document, and confirm the selection. section 4.2
  • Run the component and inspect the output to verify the extracted text. section 4.2
  • Connect the output to Split Text when preparing the document for downstream retrieval. section 4.2

The Advanced Parser option can preserve more document structure and return markdown or structured data, but it is not required for basic text extraction. section 4.2

Extracting a PDF menu

Upload Enzo’s menu PDF, run Read File, and inspect the extracted menu text. Then pass that text to Split Text to prepare chunks for a pizza-question-answering flow. section 4.2

Figure 4.10 The Read File component lets you extract text from document files.

Use the interface figure to recognize the Read File component and its file-selection control. section 4.2

How Grokking AI Applications covers it

How deep it goes
Explains uploading, running, inspecting, and connecting output, while deferring advanced parsing details.
Examples
Uses an uploaded PDF menu, extracted text inspection, and folder uploads as practical examples.
What it assumes
Assumes access to Langflow and a local file, while teaching the upload-and-extract workflow from the beginning.
What you can do after
Operate Langflow to upload files, extract their text, inspect the result, and route it into a document-ingestion flow.
How it connects
Connects document ingestion with Split Text, embeddings, vector databases, and retrieval-augmented generation.

This explainer was generated by Manning's knowledge graph from the text of Grokking AI Applications. The section links point to the parts of the book it draws on.