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README.md
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@ -11,6 +11,7 @@ Install:
From [Maven Central](https://s01.oss.sonatype.org/#nexus-search;quick~ollama4j): From [Maven Central](https://s01.oss.sonatype.org/#nexus-search;quick~ollama4j):
```xml ```xml
<dependency> <dependency>
<groupId>io.github.amithkoujalgi</groupId> <groupId>io.github.amithkoujalgi</groupId>
<artifactId>ollama4j</artifactId> <artifactId>ollama4j</artifactId>
@ -21,9 +22,10 @@ From [Maven Central](https://s01.oss.sonatype.org/#nexus-search;quick~ollama4j):
You might want to include the Maven repository to pull the ollama4j library from. Include this in your `pom.xml`: You might want to include the Maven repository to pull the ollama4j library from. Include this in your `pom.xml`:
```xml ```xml
<repositories> <repositories>
<repository> <repository>
<id>ollama-from-ossrh</id> <id>ollama4j-from-ossrh</id>
<url>https://s01.oss.sonatype.org/content/repositories/snapshots</url> <url>https://s01.oss.sonatype.org/content/repositories/snapshots</url>
</repository> </repository>
</repositories> </repositories>
@ -36,6 +38,7 @@ mvn clean install
``` ```
Start Ollama Container: Start Ollama Container:
``` ```
docker run -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama docker run -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama
``` ```
@ -51,6 +54,7 @@ public class Main {
} }
} }
``` ```
Post a question to Ollama using Ollama4j: Post a question to Ollama using Ollama4j:
Using sync API: Using sync API:
@ -86,6 +90,7 @@ public class Main {
``` ```
You'd then get a response from Ollama: You'd then get a response from Ollama:
``` ```
I am LLaMA, an AI assistant developed by Meta AI that can understand and respond to human input in a conversational manner. I am trained on a massive dataset of text from the internet and can generate human-like responses to a wide range of topics and questions. I can be used to create chatbots, virtual assistants, and other applications that require natural language understanding and generation capabilities. I am LLaMA, an AI assistant developed by Meta AI that can understand and respond to human input in a conversational manner. I am trained on a massive dataset of text from the internet and can generate human-like responses to a wide range of topics and questions. I can be used to create chatbots, virtual assistants, and other applications that require natural language understanding and generation capabilities.
``` ```

2
src/main/java/io/github/amithkoujalgi/ollama4j/Main.java
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@ -10,7 +10,7 @@ public class Main {
OllamaAPI ollamaAPI = new OllamaAPI(host); OllamaAPI ollamaAPI = new OllamaAPI(host);
String prompt1 = SamplePrompts.getSampleDatabasePromptWithQuestion("List all customer names who have bought one or more products"); String prompt1 = SamplePrompts.getSampleDatabasePromptWithQuestion("List all customer names who have bought one or more products");
String response1 = ollamaAPI.ask(OllamaModelType.LLAMA2, prompt1); String response1 = ollamaAPI.ask(OllamaModelType.SQLCODER, prompt1);
System.out.println(response1); System.out.println(response1);
String prompt2 = "Give me a list of world cup cricket teams."; String prompt2 = "Give me a list of world cup cricket teams.";