Kodexa LLM Guidance Builder
If you have a document marked as guidance this model will build and store the guidance
Slug:
llm-guidance-builder
Version: 1.0.0
Infer: No
Event Aware: Yes
Overview
LLM Guidance Builder Model
The LLM Guidance Builder automates the creation of extraction guidance from example documents. When you mark a document as “guidance,” this model analyzes it and generates extraction patterns that improve accuracy for similar documents in the future.How It Works
- Guidance Identification: Recognizes documents marked as “guidance” for processing
- Data Extraction: Extracts structured data from the guidance document using the data definition (taxonomy)
- Pattern Recognition: Maps the extracted data to its location in the document
- Guidance Generation: Creates reusable guidance patterns based on successful extractions
- Guidance Storage: Stores the guidance for automatic application to similar documents
Options Configuration
| Option | Description |
|---|---|
| taxonomy | The data definition that specifies what information to extract |
| data_store | The data store where extracted data is stored |
| guidance_set | The set where generated guidance will be stored |
| build_guidance | When enabled, automatically builds guidance from documents with the “guidance” label |
| interactive_mode | When enabled, automatically reprocesses existing documents when guidance is updated |
Message Templates
The model provides these contextual message templates to help you work with guidance:- Suggest Data Definition: Get AI suggestions for a data definition based on document content
- Discuss Differences: Compare extracted data with external data to identify discrepancies
- Summarize: Generate a concise summary of selected content
Process Flow
Guidance Structure
The generated guidance contains:- Document Reference: Links to the original guidance document
- Extracted Data: The structured data extracted from the document
- Location Mapping: Where in the document each data point was found
- Applicable Tags: Which data elements this guidance applies to
- Guidance Key: Optional identifier for controlling guidance application
Example Usage
The LLM Guidance Builder is particularly useful for:- Creating Extraction Templates: Turn successful document extractions into reusable patterns
- Improving Extraction Accuracy: Apply lessons from one document to similar documents
- Interactive Learning: Continuously improve extraction as you process more documents
- Building Knowledge Bases: Create a library of extraction patterns for different document types
- Reducing Manual Configuration: Minimize the need to configure extraction rules manually
Workflow Example
- Process a document with the Data Labeling model to extract data
- Mark the document as “guidance” when extraction is accurate
- Run the Guidance Builder to create reusable patterns
- Process similar documents, which now benefit from the guidance
- Iteratively improve guidance by adding more example documents
Interactive Mode
When interactive mode is enabled, the model:- Monitors for document updates that affect guidance
- Automatically reprocesses existing documents when guidance changes
- Creates a feedback loop that continuously improves extraction quality
Inference Options
The following options can be configured when using this model for inference:| Name | Label | Type | Description | Default | Required |
|---|---|---|---|---|---|
taxonomy | Data Definition | taxonomy | The data definition to use for the model | - | No |
data_store | Data Store | tableStore | N/A | - | No |
guidance_set | Guidance Set | guidanceSet | N/A | - | No |
build_guidance | Build Guidance | boolean | Build guidance based on the guidance document label | False | No |
interactive_mode | Interactive Mode | boolean | Enable interactive learning, the assistant will build and apply guidance from updates and reprocess existing documents that aren’t guidance | False | No |
Model Details
- Provider: Kodexa