> For the complete documentation index, see [llms.txt](https://llm-aws.course.gspivey.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://llm-aws.course.gspivey.com/cloud-deployment-cdk/project-10q-inference.md).

# Project: 10Q Inference (CDK)

LLMs answer from their training data. When a student asks about a company's most recent quarterly filing, the model's training cutoff means it likely has not seen that disclosure. The answer it produces sounds confident but is often wrong — invented figures, conflated dates, or outright hallucinations.

This project teaches you to close that gap. You build a CDK-deployed Lambda that retrieves a real SEC 10-Q filing, injects it as context into the prompt, and returns an answer grounded in the actual document. By the end of this module you will have seen the failure mode first-hand (Part 1), fixed it with retrieval-augmented context (Part 2), extracted clean text from a filing (Part 3), and wired it all together behind the course Lambda contract (Part 4).

## Module structure

| Part                                                                                                                     | Focus                                                        |
| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------ |
| [Part 1: Inference Test](/cloud-deployment-cdk/project-10q-inference/part-1-inference-test.md)                           | Invoke the model without context and observe its limitations |
| [Part 2: Inference with Context](/cloud-deployment-cdk/project-10q-inference/part-2-inference-with-context.md)           | Provide filing text as context and compare the results       |
| [Part 3: Text Extraction](/cloud-deployment-cdk/project-10q-inference/part-3-text-extraction.md)                         | Extract and prepare filing text for the prompt               |
| [Part 4: Question to Enhanced Prompt](/cloud-deployment-cdk/project-10q-inference/part-4-question-to-enhanced-prompt.md) | End-to-end Lambda conforming to the contract                 |

## Prerequisites

* Completed the [CDK Bridge](/cloud-deployment-cdk/cdk-bridge.md) module (your CDK project is initialized)
* Working EDGAR API library from [Project: SEC EDGAR API Library](/foundations/project-sec-edgar-api-library.md)
* Bedrock model access enabled per [Setup: Bedrock Access](/reference/setup-bedrock-access.md)

## Deployment tool

Every part of this module uses **AWS CDK (Python 3.12)** for infrastructure deployment. If you have not yet initialized your CDK project, complete [Project: CDK Init](/cloud-deployment-cdk/cdk-bridge/project-cdk-init.md) first.

## Key references

* [Models](/reference/models.md) — the canonical model identifier for all Bedrock calls
* [Lambda Contract](/reference/contract.md) — the request/response schema your Lambda must conform to

***

Last verified: 2026-06