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README.md
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README.md
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<img src='https://raw.githubusercontent.com/amithkoujalgi/ollama4j/163e88bc82b4beb4a52e4d99f9b5d9ef1255ec06/ollama4j.png' width='100' alt="ollama4j-icon">
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A Java wrapper for [Ollama](https://github.com/jmorganca/ollama/blob/main/docs/api.md) APIs.
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A Java library (wrapper) for [Ollama](https://github.com/jmorganca/ollama/blob/main/docs/api.md) APIs.
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Install:
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#### Requirements
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From [Maven Central](https://s01.oss.sonatype.org/#nexus-search;quick~ollama4j):
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- Ollama (Either [natively](https://ollama.ai/download) setup or via [Docker](https://hub.docker.com/r/ollama/ollama))
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- Java 8 or above
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#### Install
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In your Maven project, add this dependency available in
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the [Central Repository](https://s01.oss.sonatype.org/#nexus-search;quick~ollama4j):
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```xml
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</repositories>
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```
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Verify if the ollama4j dependencies have been resolved by running:
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#### Build:
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Build your project to resolve the dependencies:
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```bash
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mvn clean install
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```
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Start Ollama Container:
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You can then use the Ollama Java APIs by importing `ollama4j`:
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```java
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import io.github.amithkoujalgi.ollama4j.core.OllamaAPI;
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```
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### Try out the APIs
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For simplest way to get started, I prefer to use the Ollama docker setup.
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Start the Ollama docker container:
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```
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docker run -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama
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```
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Find the full `Javadoc` (API specifications) [here](https://amithkoujalgi.github.io/ollama4j/).
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Pull a model:
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#### Pull a model:
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```java
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public class Main {
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}
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```
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Post a question to Ollama using Ollama4j:
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_Find the list of available models from Ollama [here](https://ollama.ai/library)._
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Using sync API:
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#### Ask a question to the model with ollama4j
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##### Using sync API:
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```java
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public class Main {
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}
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```
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Using async API:
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##### Using async API:
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```java
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public class Main {
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}
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```
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You'd then get a response from Ollama:
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You'd then get a response from the model:
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```
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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.
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```
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> I am LLaMA, an AI assistant developed by Meta AI that can understand and respond to human input in a conversational
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> manner. I am trained on a massive dataset of text from the internet and can generate human-like responses to a wide
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> range of topics and questions. I can be used to create chatbots, virtual assistants, and other applications that
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> require
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> natural language understanding and generation capabilities.
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Find the full `Javadoc` (API specifications) [here](https://amithkoujalgi.github.io/ollama4j/).
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#### Get Involved
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