Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix small typos #59

Merged
merged 1 commit into from
Mar 11, 2025
Merged

Fix small typos #59

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/docs/step-09.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -270,7 +270,7 @@ however Quarkus offers a few ways to visualize and search the collected data on

Quarkus provides an experimental new Dev Service to help visualize all your OpenTelemetry observability data in a central place.
It is based on the open source LGTM stack, which stands for Loki (log aggregation), Grafana (graph tool), Tempo (traces aggregation)
and Prometheus (metrics aggregation). By adding the `quarkus-observability-devservices-gtm` extension, this set of tools will
and Prometheus (metrics aggregation). By adding the `quarkus-observability-devservices-lgtm` extension, this set of tools will
automatically (or may we say 'automagically'?) start up in their respective containers and wire up to your application's observability endpoints.

Add the following dependencies in your `pom.xml`:
Expand Down
4 changes: 2 additions & 2 deletions docs/docs/step-10.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@ Do not return anything else. Do not even return a newline or a leading field. On

and return together with that number a long explanation of how it calculated the score. This makes the `PromptInjectionDetectionService` to fail, not being able to convert that verbal explanation into a double.

The [output guardrails](https://docs.quarkiverse.io/quarkus-langchain4j/dev/guardrails.html#_output_guardrails) provided by the Quarkus-LangChain4j extension are functions invoked once the LLM has produced its output, allowing to rewrite, or even block, that output before passing it downstream. In our case we can try to sanitize the hallucinated LLM response and extract a single number from it by creating the `dev.langchain4j.quarkus.workshop.NumericOutputSanitizerGuard` class with the following content:==
The [output guardrails](https://docs.quarkiverse.io/quarkus-langchain4j/dev/guardrails.html#_output_guardrails) provided by the Quarkus-LangChain4j extension are functions invoked once the LLM has produced its output, allowing to rewrite, or even block, that output before passing it downstream. In our case we can try to sanitize the hallucinated LLM response and extract a single number from it by creating the `dev.langchain4j.quarkus.workshop.NumericOutputSanitizerGuard` class with the following content:

```java title="NumericOutputSanitizerGuard.java"
--8<-- "../../step-10/src/main/java/dev/langchain4j/quarkus/workshop/NumericOutputSanitizerGuard.java"
Expand All @@ -130,4 +130,4 @@ What can you tell me about your cancellation policy?

Note that it might take a bit longer than ChatGPT to answer the question.

![RAG with Jlama](images/chat-rag-with-jlama.png)
![RAG with Jlama](images/chat-rag-with-jlama.png)