jamesnetherton commented on code in PR #261:
URL:
https://github.com/apache/camel-quarkus-examples/pull/261#discussion_r1742346077
##########
data-extract-langchain4j/README.adoc:
##########
@@ -0,0 +1,126 @@
+= Unstructured Data Extraction with LangChain4j: A Camel Quarkus example
+:cq-example-description: An example that shows how to convert unstructured
text data to structured Java objects helped with a Large Language Model and
LangChain4j
+
+{cq-description}
+
+TIP: Check the
https://camel.apache.org/camel-quarkus/latest/first-steps.html[Camel Quarkus
User guide] for prerequisites
+and other general information.
+
+Suppose the volume of
https://en.wikipedia.org/wiki/Unstructured_data[unstructured data] grows at a
high pace in a given organization.
+How could one transform those disseminated gold particles into a conform
bullion that could be used in banks.
+For instance, let's imagine an insurance company that would record the
transcripts of the conversation when customers are discussing with the hotline.
+There is probably a lot of valuable information that could be extracted from
those conversation transcripts.
+In this example, we'll convert those text conversations into Java Objects that
could then be used in the rest of the Camel route.
+
+In order to achieve this extraction, we'll need a
https://en.wikipedia.org/wiki/Large_language_model[Large Language Model (LLM)]
that natively support JSON output.
+Here, we arbitrarily choose https://ollama.com/library/codellama[codellama]
served through https://ollama.com/[ollama].
+In order to invoke the served model, we'll use the high-level LangChain4j APIs
like https://docs.langchain4j.dev/tutorials/ai-services[AiServices].
+As we are using the Quarkus runtime, we can leverage all the advantages of the
https://docs.quarkiverse.io/quarkus-langchain4j/dev/index.html[Quarkus
LangChain4j extension].
+
+=== Start the Large Language Model
+
+Let's start a container to serve the LLM with Ollama:
+
+[source,shell]
+----
+docker run -p11434:11434 langchain4j/ollama-codellama:latest
+----
+
+After a moment, a log like below should be output:
+
+[source,shell]
+----
+time=2024-09-03T08:03:15.532Z level=INFO source=types.go:98 msg="inference
compute" id=0 library=cpu compute="" driver=0.0 name="" total="62.5 GiB"
available="54.4 GiB"
+----
+
+That's it, the LLM is now ready to serve our data extraction requests.
+
+=== Package and run the application
+
+You are now ready to package and run the application.
+
+TIP: Find more details about the JVM mode and Native mode in the Package and
run section of
+https://camel.apache.org/camel-quarkus/latest/first-steps.html#_package_and_run_the_application[Camel
Quarkus User guide]
+
+==== JVM mode
+
+[source,shell]
+----
+mvn clean package -DskipTests
+java -jar target/quarkus-app/quarkus-run.jar
+----
+
+==== Extracting data from unstructured conversation
+
+Let's atomically copy/move the transcript files to the input folder named
`target/transcripts/`, for instance like below:
+
+[source,shell]
+----
+cp -rf src/test/resources/transcripts/ target/transcripts-tmp
+mv target/transcripts-tmp/*.json target/transcripts/
+----
+
+The Camel route should output a log as below:
+
+[source,shell]
+----
+024-09-03 10:14:34,757 INFO [route1] (Camel (camel-1) thread #1 -
file://target/transcripts) A document has been received by the
camel-quarkus-file extension: {
+ "id": 1,
+ "content": "Operator: Hello, how may I help you ?\nCustomer: Hello, I'm
calling because I need to declare an accident on my main vehicle.\nOperator:
Ok, can you please give me your name ?\nCustomer: My name is Sarah
London.\nOperator: Could you please give me your birth date ?\nCustomer: 1986,
July the 10th.\nOperator: Ok, I've got your contract and I'm happy to share
with you that we'll be able to reimburse all expenses linked to this
accident.\nCustomer: Oh great, many thanks."
+}
+----
+
+In the first log above, we can see that a JSON file handling transcript
related information has been consumed.
+The conversation is present in the JSON field named `content`.
+This content will be injected into the LLM prompt.
+
+After a few seconds or minutes depending on your hardware setup, the LLM
provides an answer strictly conforming to the expected JSON schema.
+It's now easy for LangChain4j to convert the returned JSON into a Java Object.
+At the end of the day, we are provided with a Plain Old Java Object (POJO)
handling the extracted data like below.
Review Comment:
Nitpick - I try to avoid clichés. They can be confusing for folks who are
not so familiar with English.
```suggestion
At the end, we are provided with a Plain Old Java Object (POJO) handling the
extracted data like below.
```
##########
data-extract-langchain4j/README.adoc:
##########
@@ -0,0 +1,126 @@
+= Unstructured Data Extraction with LangChain4j: A Camel Quarkus example
+:cq-example-description: An example that shows how to convert unstructured
text data to structured Java objects helped with a Large Language Model and
LangChain4j
+
+{cq-description}
+
+TIP: Check the
https://camel.apache.org/camel-quarkus/latest/first-steps.html[Camel Quarkus
User guide] for prerequisites
+and other general information.
+
+Suppose the volume of
https://en.wikipedia.org/wiki/Unstructured_data[unstructured data] grows at a
high pace in a given organization.
+How could one transform those disseminated gold particles into a conform
bullion that could be used in banks.
+For instance, let's imagine an insurance company that would record the
transcripts of the conversation when customers are discussing with the hotline.
+There is probably a lot of valuable information that could be extracted from
those conversation transcripts.
+In this example, we'll convert those text conversations into Java Objects that
could then be used in the rest of the Camel route.
+
+In order to achieve this extraction, we'll need a
https://en.wikipedia.org/wiki/Large_language_model[Large Language Model (LLM)]
that natively support JSON output.
Review Comment:
```suggestion
In order to achieve this extraction, we'll need a
https://en.wikipedia.org/wiki/Large_language_model[Large Language Model (LLM)]
that natively supports JSON output.
```
##########
data-extract-langchain4j/README.adoc:
##########
@@ -0,0 +1,126 @@
+= Unstructured Data Extraction with LangChain4j: A Camel Quarkus example
+:cq-example-description: An example that shows how to convert unstructured
text data to structured Java objects helped with a Large Language Model and
LangChain4j
+
+{cq-description}
+
+TIP: Check the
https://camel.apache.org/camel-quarkus/latest/first-steps.html[Camel Quarkus
User guide] for prerequisites
+and other general information.
+
+Suppose the volume of
https://en.wikipedia.org/wiki/Unstructured_data[unstructured data] grows at a
high pace in a given organization.
+How could one transform those disseminated gold particles into a conform
bullion that could be used in banks.
+For instance, let's imagine an insurance company that would record the
transcripts of the conversation when customers are discussing with the hotline.
+There is probably a lot of valuable information that could be extracted from
those conversation transcripts.
+In this example, we'll convert those text conversations into Java Objects that
could then be used in the rest of the Camel route.
+
+In order to achieve this extraction, we'll need a
https://en.wikipedia.org/wiki/Large_language_model[Large Language Model (LLM)]
that natively support JSON output.
+Here, we arbitrarily choose https://ollama.com/library/codellama[codellama]
served through https://ollama.com/[ollama].
+In order to invoke the served model, we'll use the high-level LangChain4j APIs
like https://docs.langchain4j.dev/tutorials/ai-services[AiServices].
+As we are using the Quarkus runtime, we can leverage all the advantages of the
https://docs.quarkiverse.io/quarkus-langchain4j/dev/index.html[Quarkus
LangChain4j extension].
+
+=== Start the Large Language Model
+
+Let's start a container to serve the LLM with Ollama:
+
+[source,shell]
+----
+docker run -p11434:11434 langchain4j/ollama-codellama:latest
+----
+
+After a moment, a log like below should be output:
+
+[source,shell]
+----
+time=2024-09-03T08:03:15.532Z level=INFO source=types.go:98 msg="inference
compute" id=0 library=cpu compute="" driver=0.0 name="" total="62.5 GiB"
available="54.4 GiB"
+----
+
+That's it, the LLM is now ready to serve our data extraction requests.
+
+=== Package and run the application
+
+You are now ready to package and run the application.
+
+TIP: Find more details about the JVM mode and Native mode in the Package and
run section of
+https://camel.apache.org/camel-quarkus/latest/first-steps.html#_package_and_run_the_application[Camel
Quarkus User guide]
+
+==== JVM mode
+
+[source,shell]
+----
+mvn clean package -DskipTests
+java -jar target/quarkus-app/quarkus-run.jar
+----
+
+==== Extracting data from unstructured conversation
+
+Let's atomically copy/move the transcript files to the input folder named
`target/transcripts/`, for instance like below:
+
+[source,shell]
+----
+cp -rf src/test/resources/transcripts/ target/transcripts-tmp
+mv target/transcripts-tmp/*.json target/transcripts/
+----
+
+The Camel route should output a log as below:
+
+[source,shell]
+----
+024-09-03 10:14:34,757 INFO [route1] (Camel (camel-1) thread #1 -
file://target/transcripts) A document has been received by the
camel-quarkus-file extension: {
+ "id": 1,
+ "content": "Operator: Hello, how may I help you ?\nCustomer: Hello, I'm
calling because I need to declare an accident on my main vehicle.\nOperator:
Ok, can you please give me your name ?\nCustomer: My name is Sarah
London.\nOperator: Could you please give me your birth date ?\nCustomer: 1986,
July the 10th.\nOperator: Ok, I've got your contract and I'm happy to share
with you that we'll be able to reimburse all expenses linked to this
accident.\nCustomer: Oh great, many thanks."
+}
+----
+
+In the first log above, we can see that a JSON file handling transcript
related information has been consumed.
+The conversation is present in the JSON field named `content`.
+This content will be injected into the LLM prompt.
+
+After a few seconds or minutes depending on your hardware setup, the LLM
provides an answer strictly conforming to the expected JSON schema.
+It's now easy for LangChain4j to convert the returned JSON into a Java Object.
+At the end of the day, we are provided with a Plain Old Java Object (POJO)
handling the extracted data like below.
+
+[source,shell]
+----
+2024-09-03 10:14:51,284 INFO [org.acm.ext.CustomPojoStore] (Camel (camel-1)
thread #1 - file://target/transcripts) An extracted POJO has been added to the
store:
+{
+ "customerSatisfied": "true",
+ "customerName": "Sarah London",
+ "customerBirthday": "10 July 1986",
+ "summary": "Declare an accident on main vehicle and receive reimbursement
for expenses."
+}
+----
+
+See how the LLM shows its capacity to:
+ * Extract a human friendly sentiment like `customerSatisfied`
+ * Exhibits
https://nlp.stanford.edu/projects/coref.shtml#:~:text=Overview,question%20answering%2C%20and%20information%20extraction.[coreference
resolution], like `customerName` that is deduced from information spread in
the whole conversation
+ * Manage issues related to date format, like the field `customerBirthday`
+ * Mixed structured and unstructured data (semi-structured data) with the
field `summary`.
+
+Cherry on the cake, all those informations are computed simultaneously during
a single LLM inference.
+
+At the end of the day, the application should have extracted 3 POJOs.
Review Comment:
```suggestion
At the end, the application should have extracted 3 POJOs.
```
##########
data-extract-langchain4j/pom.xml:
##########
@@ -0,0 +1,329 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements. See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+-->
+<project xmlns="http://maven.apache.org/POM/4.0.0";
+ xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
+ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd";>
+ <modelVersion>4.0.0</modelVersion>
+
+ <artifactId>camel-quarkus-examples-data-extract-langchain4j</artifactId>
+ <groupId>org.apache.camel.quarkus.examples</groupId>
+ <version>3.15.0-SNAPSHOT</version>
+
+ <name>Camel Quarkus :: Examples :: Data Extract LangChain4j
Repository</name>
+ <description>Camel Quarkus Example :: Data Extract LangChain4j
Repository</description>
+
+ <properties>
+
+ <!-- Cannot upgrade to Quarkus Platform 3.14.1 because of
https://github.com/apache/camel-quarkus/issues/6341 -->
+ <quarkus.platform.version>3.14.0</quarkus.platform.version>
+
<camel-quarkus.platform.version>3.15.0-SNAPSHOT</camel-quarkus.platform.version>
+
+ <quarkus.platform.group-id>io.quarkus</quarkus.platform.group-id>
+
<quarkus.platform.artifact-id>quarkus-bom</quarkus.platform.artifact-id>
+
<camel-quarkus.platform.group-id>org.apache.camel.quarkus</camel-quarkus.platform.group-id>
+
<camel-quarkus.platform.artifact-id>camel-quarkus-bom</camel-quarkus.platform.artifact-id>
+
+ <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
+ <maven.compiler.target>17</maven.compiler.target>
+ <maven.compiler.source>17</maven.compiler.source>
+
<maven.compiler.testTarget>${maven.compiler.target}</maven.compiler.testTarget>
+
<maven.compiler.testSource>${maven.compiler.source}</maven.compiler.testSource>
+
+ <formatter-maven-plugin.version>2.24.1</formatter-maven-plugin.version>
+ <groovy-maven-plugin.version>2.1.1</groovy-maven-plugin.version>
+ <impsort-maven-plugin.version>1.11.0</impsort-maven-plugin.version>
+ <license-maven-plugin.version>4.5</license-maven-plugin.version>
+ <maven-compiler-plugin.version>3.13.0</maven-compiler-plugin.version>
+ <maven-jar-plugin.version>3.4.2</maven-jar-plugin.version>
+ <maven-resources-plugin.version>3.3.1</maven-resources-plugin.version>
+ <maven-surefire-plugin.version>3.4.0</maven-surefire-plugin.version>
+ </properties>
+
+ <dependencyManagement>
+ <dependencies>
+ <!-- Import BOM -->
+ <dependency>
+ <groupId>io.quarkiverse.langchain4j</groupId>
+ <artifactId>quarkus-langchain4j-bom</artifactId>
+ <version>0.17.2</version>
Review Comment:
Please add a version property for this.
##########
data-extract-langchain4j/pom.xml:
##########
@@ -0,0 +1,329 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements. See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+-->
+<project xmlns="http://maven.apache.org/POM/4.0.0";
+ xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
+ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd";>
+ <modelVersion>4.0.0</modelVersion>
+
+ <artifactId>camel-quarkus-examples-data-extract-langchain4j</artifactId>
+ <groupId>org.apache.camel.quarkus.examples</groupId>
+ <version>3.15.0-SNAPSHOT</version>
+
+ <name>Camel Quarkus :: Examples :: Data Extract LangChain4j
Repository</name>
+ <description>Camel Quarkus Example :: Data Extract LangChain4j
Repository</description>
+
+ <properties>
+
+ <!-- Cannot upgrade to Quarkus Platform 3.14.1 because of
https://github.com/apache/camel-quarkus/issues/6341 -->
+ <quarkus.platform.version>3.14.0</quarkus.platform.version>
+
<camel-quarkus.platform.version>3.15.0-SNAPSHOT</camel-quarkus.platform.version>
+
+ <quarkus.platform.group-id>io.quarkus</quarkus.platform.group-id>
+
<quarkus.platform.artifact-id>quarkus-bom</quarkus.platform.artifact-id>
+
<camel-quarkus.platform.group-id>org.apache.camel.quarkus</camel-quarkus.platform.group-id>
+
<camel-quarkus.platform.artifact-id>camel-quarkus-bom</camel-quarkus.platform.artifact-id>
+
+ <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
+ <maven.compiler.target>17</maven.compiler.target>
+ <maven.compiler.source>17</maven.compiler.source>
+
<maven.compiler.testTarget>${maven.compiler.target}</maven.compiler.testTarget>
+
<maven.compiler.testSource>${maven.compiler.source}</maven.compiler.testSource>
+
+ <formatter-maven-plugin.version>2.24.1</formatter-maven-plugin.version>
+ <groovy-maven-plugin.version>2.1.1</groovy-maven-plugin.version>
+ <impsort-maven-plugin.version>1.11.0</impsort-maven-plugin.version>
+ <license-maven-plugin.version>4.5</license-maven-plugin.version>
+ <maven-compiler-plugin.version>3.13.0</maven-compiler-plugin.version>
+ <maven-jar-plugin.version>3.4.2</maven-jar-plugin.version>
+ <maven-resources-plugin.version>3.3.1</maven-resources-plugin.version>
+ <maven-surefire-plugin.version>3.4.0</maven-surefire-plugin.version>
+ </properties>
+
+ <dependencyManagement>
+ <dependencies>
+ <!-- Import BOM -->
+ <dependency>
+ <groupId>io.quarkiverse.langchain4j</groupId>
+ <artifactId>quarkus-langchain4j-bom</artifactId>
+ <version>0.17.2</version>
+ <type>pom</type>
+ <scope>import</scope>
+ </dependency>
+ <dependency>
+ <groupId>${quarkus.platform.group-id}</groupId>
+ <artifactId>${quarkus.platform.artifact-id}</artifactId>
+ <version>${quarkus.platform.version}</version>
+ <type>pom</type>
+ <scope>import</scope>
+ </dependency>
+ <dependency>
+ <groupId>${camel-quarkus.platform.group-id}</groupId>
+ <artifactId>${camel-quarkus.platform.artifact-id}</artifactId>
+ <version>${camel-quarkus.platform.version}</version>
+ <type>pom</type>
+ <scope>import</scope>
+ </dependency>
+ </dependencies>
+ </dependencyManagement>
+
+ <dependencies>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-bean</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-file</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-jsonpath</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-platform-http</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>io.quarkiverse.langchain4j</groupId>
+ <artifactId>quarkus-langchain4j-ollama</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>commons-io</groupId>
+ <artifactId>commons-io</artifactId>
Review Comment:
Should be test scoped?
If so, IIRC, it's already a transitive of the Quarkus test framework so it
could probably be removed entirely.
##########
data-extract-langchain4j/README.adoc:
##########
@@ -0,0 +1,126 @@
+= Unstructured Data Extraction with LangChain4j: A Camel Quarkus example
+:cq-example-description: An example that shows how to convert unstructured
text data to structured Java objects helped with a Large Language Model and
LangChain4j
+
+{cq-description}
+
+TIP: Check the
https://camel.apache.org/camel-quarkus/latest/first-steps.html[Camel Quarkus
User guide] for prerequisites
+and other general information.
+
+Suppose the volume of
https://en.wikipedia.org/wiki/Unstructured_data[unstructured data] grows at a
high pace in a given organization.
+How could one transform those disseminated gold particles into a conform
bullion that could be used in banks.
+For instance, let's imagine an insurance company that would record the
transcripts of the conversation when customers are discussing with the hotline.
+There is probably a lot of valuable information that could be extracted from
those conversation transcripts.
+In this example, we'll convert those text conversations into Java Objects that
could then be used in the rest of the Camel route.
+
+In order to achieve this extraction, we'll need a
https://en.wikipedia.org/wiki/Large_language_model[Large Language Model (LLM)]
that natively support JSON output.
+Here, we arbitrarily choose https://ollama.com/library/codellama[codellama]
served through https://ollama.com/[ollama].
+In order to invoke the served model, we'll use the high-level LangChain4j APIs
like https://docs.langchain4j.dev/tutorials/ai-services[AiServices].
+As we are using the Quarkus runtime, we can leverage all the advantages of the
https://docs.quarkiverse.io/quarkus-langchain4j/dev/index.html[Quarkus
LangChain4j extension].
+
+=== Start the Large Language Model
+
+Let's start a container to serve the LLM with Ollama:
+
+[source,shell]
+----
+docker run -p11434:11434 langchain4j/ollama-codellama:latest
+----
+
+After a moment, a log like below should be output:
+
+[source,shell]
+----
+time=2024-09-03T08:03:15.532Z level=INFO source=types.go:98 msg="inference
compute" id=0 library=cpu compute="" driver=0.0 name="" total="62.5 GiB"
available="54.4 GiB"
+----
+
+That's it, the LLM is now ready to serve our data extraction requests.
+
+=== Package and run the application
+
+You are now ready to package and run the application.
+
+TIP: Find more details about the JVM mode and Native mode in the Package and
run section of
+https://camel.apache.org/camel-quarkus/latest/first-steps.html#_package_and_run_the_application[Camel
Quarkus User guide]
+
+==== JVM mode
+
+[source,shell]
+----
+mvn clean package -DskipTests
+java -jar target/quarkus-app/quarkus-run.jar
+----
+
+==== Extracting data from unstructured conversation
+
+Let's atomically copy/move the transcript files to the input folder named
`target/transcripts/`, for instance like below:
+
+[source,shell]
+----
+cp -rf src/test/resources/transcripts/ target/transcripts-tmp
+mv target/transcripts-tmp/*.json target/transcripts/
+----
+
+The Camel route should output a log as below:
+
+[source,shell]
+----
+024-09-03 10:14:34,757 INFO [route1] (Camel (camel-1) thread #1 -
file://target/transcripts) A document has been received by the
camel-quarkus-file extension: {
+ "id": 1,
+ "content": "Operator: Hello, how may I help you ?\nCustomer: Hello, I'm
calling because I need to declare an accident on my main vehicle.\nOperator:
Ok, can you please give me your name ?\nCustomer: My name is Sarah
London.\nOperator: Could you please give me your birth date ?\nCustomer: 1986,
July the 10th.\nOperator: Ok, I've got your contract and I'm happy to share
with you that we'll be able to reimburse all expenses linked to this
accident.\nCustomer: Oh great, many thanks."
+}
+----
+
+In the first log above, we can see that a JSON file handling transcript
related information has been consumed.
+The conversation is present in the JSON field named `content`.
+This content will be injected into the LLM prompt.
+
+After a few seconds or minutes depending on your hardware setup, the LLM
provides an answer strictly conforming to the expected JSON schema.
+It's now easy for LangChain4j to convert the returned JSON into a Java Object.
+At the end of the day, we are provided with a Plain Old Java Object (POJO)
handling the extracted data like below.
+
+[source,shell]
+----
+2024-09-03 10:14:51,284 INFO [org.acm.ext.CustomPojoStore] (Camel (camel-1)
thread #1 - file://target/transcripts) An extracted POJO has been added to the
store:
+{
+ "customerSatisfied": "true",
+ "customerName": "Sarah London",
+ "customerBirthday": "10 July 1986",
+ "summary": "Declare an accident on main vehicle and receive reimbursement
for expenses."
+}
+----
+
+See how the LLM shows its capacity to:
+ * Extract a human friendly sentiment like `customerSatisfied`
+ * Exhibits
https://nlp.stanford.edu/projects/coref.shtml#:~:text=Overview,question%20answering%2C%20and%20information%20extraction.[coreference
resolution], like `customerName` that is deduced from information spread in
the whole conversation
+ * Manage issues related to date format, like the field `customerBirthday`
+ * Mixed structured and unstructured data (semi-structured data) with the
field `summary`.
+
+Cherry on the cake, all those informations are computed simultaneously during
a single LLM inference.
+
+At the end of the day, the application should have extracted 3 POJOs.
+For each of them, it could be interesting to compare the unstructured input
text and the corresponding structured POJO.
+
+More details could be found in the
`src/main/java/org/acme/extraction/CustomPojoExtractionService.java` class.
Review Comment:
```suggestion
More details can be found in the
`src/main/java/org/acme/extraction/CustomPojoExtractionService.java` class.
```
##########
data-extract-langchain4j/pom.xml:
##########
@@ -0,0 +1,329 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements. See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+-->
+<project xmlns="http://maven.apache.org/POM/4.0.0";
+ xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
+ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd";>
+ <modelVersion>4.0.0</modelVersion>
+
+ <artifactId>camel-quarkus-examples-data-extract-langchain4j</artifactId>
+ <groupId>org.apache.camel.quarkus.examples</groupId>
+ <version>3.15.0-SNAPSHOT</version>
+
+ <name>Camel Quarkus :: Examples :: Data Extract LangChain4j
Repository</name>
+ <description>Camel Quarkus Example :: Data Extract LangChain4j
Repository</description>
+
+ <properties>
+
+ <!-- Cannot upgrade to Quarkus Platform 3.14.1 because of
https://github.com/apache/camel-quarkus/issues/6341 -->
+ <quarkus.platform.version>3.14.0</quarkus.platform.version>
+
<camel-quarkus.platform.version>3.15.0-SNAPSHOT</camel-quarkus.platform.version>
+
+ <quarkus.platform.group-id>io.quarkus</quarkus.platform.group-id>
+
<quarkus.platform.artifact-id>quarkus-bom</quarkus.platform.artifact-id>
+
<camel-quarkus.platform.group-id>org.apache.camel.quarkus</camel-quarkus.platform.group-id>
+
<camel-quarkus.platform.artifact-id>camel-quarkus-bom</camel-quarkus.platform.artifact-id>
+
+ <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
+ <maven.compiler.target>17</maven.compiler.target>
+ <maven.compiler.source>17</maven.compiler.source>
+
<maven.compiler.testTarget>${maven.compiler.target}</maven.compiler.testTarget>
+
<maven.compiler.testSource>${maven.compiler.source}</maven.compiler.testSource>
+
+ <formatter-maven-plugin.version>2.24.1</formatter-maven-plugin.version>
+ <groovy-maven-plugin.version>2.1.1</groovy-maven-plugin.version>
+ <impsort-maven-plugin.version>1.11.0</impsort-maven-plugin.version>
+ <license-maven-plugin.version>4.5</license-maven-plugin.version>
+ <maven-compiler-plugin.version>3.13.0</maven-compiler-plugin.version>
+ <maven-jar-plugin.version>3.4.2</maven-jar-plugin.version>
+ <maven-resources-plugin.version>3.3.1</maven-resources-plugin.version>
+ <maven-surefire-plugin.version>3.4.0</maven-surefire-plugin.version>
+ </properties>
+
+ <dependencyManagement>
+ <dependencies>
+ <!-- Import BOM -->
+ <dependency>
+ <groupId>io.quarkiverse.langchain4j</groupId>
+ <artifactId>quarkus-langchain4j-bom</artifactId>
+ <version>0.17.2</version>
+ <type>pom</type>
+ <scope>import</scope>
+ </dependency>
+ <dependency>
+ <groupId>${quarkus.platform.group-id}</groupId>
+ <artifactId>${quarkus.platform.artifact-id}</artifactId>
+ <version>${quarkus.platform.version}</version>
+ <type>pom</type>
+ <scope>import</scope>
+ </dependency>
+ <dependency>
+ <groupId>${camel-quarkus.platform.group-id}</groupId>
+ <artifactId>${camel-quarkus.platform.artifact-id}</artifactId>
+ <version>${camel-quarkus.platform.version}</version>
+ <type>pom</type>
+ <scope>import</scope>
+ </dependency>
+ </dependencies>
+ </dependencyManagement>
+
+ <dependencies>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-bean</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-file</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-jsonpath</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.camel.quarkus</groupId>
+ <artifactId>camel-quarkus-platform-http</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>io.quarkiverse.langchain4j</groupId>
+ <artifactId>quarkus-langchain4j-ollama</artifactId>
+ </dependency>
+ <dependency>
+ <groupId>commons-io</groupId>
+ <artifactId>commons-io</artifactId>
+ </dependency>
+
+ <!-- Test -->
+ <dependency>
+ <groupId>io.quarkus</groupId>
+ <artifactId>quarkus-junit5</artifactId>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>org.awaitility</groupId>
+ <artifactId>awaitility</artifactId>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>io.rest-assured</groupId>
+ <artifactId>rest-assured</artifactId>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>org.testcontainers</groupId>
+ <artifactId>testcontainers</artifactId>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>org.wiremock</groupId>
+ <artifactId>wiremock-standalone</artifactId>
+ <version>3.9.1</version>
Review Comment:
Needs a version property. Also, please add WireMock to the Dependabot config.
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