Retrieval-Augmented Audit Pipelines
Chunking, embedding, and indexing large contract codebases · Feeding context windows with the right files at the right time · Structured output: getting findings as severity/location/remediation JSON
- 01Understand and apply: Chunking, embedding, and indexing large contract codebases
- 02Understand and apply: Feeding context windows with the right files at the right time
- 03Understand and apply: Structured output: getting findings as severity/location/remediation JSON
Chunking, embedding, and indexing large contract codebases
This section covers chunking, embedding, and indexing large contract codebases. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
Feeding context windows with the right files at the right time
This section covers feeding context windows with the right files at the right time. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
Structured output: getting findings as severity/location/remediation JSON
This section covers structured output: getting findings as severity/location/remediation json. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
- 01Complete the hands-on lab for retrieval-augmented audit pipelines.
- 02Review the provided case study and answer the reflection questions.
- ✓Chunking, embedding, and indexing large contract codebases
- ✓Feeding context windows with the right files at the right time
- ✓Structured output: getting findings as severity/location/remediation JSON