[maven-release-plugin] prepare release v1.0.40

Makefile

@@ -10,4 +10,16 @@ it:
 list-releases:
 	curl 'https://central.sonatype.com/api/internal/browse/component/versions?sortField=normalizedVersion&sortDirection=asc&page=0&size=12&filter=namespace%3Aio.github.amithkoujalgi%2Cname%3Aollama4j' \
       --compressed \
-      --silent | jq '.components[].version'
+      --silent | jq '.components[].version'
+
+build-docs:
+	npm i --prefix docs && npm run build --prefix docs
+
+start-docs:
+	npm i --prefix docs && npm run start --prefix docs
+
+start-cpu:
+	docker run -it -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama
+
+start-gpu:
+	docker run -it --gpus=all -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama

docs/docs/apis-ask/ask-with-image-files.md

@@ -8,7 +8,7 @@ This API lets you ask questions along with the image files to the LLMs.
 These APIs correlate to
 the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) APIs.
 
-:::caution
+:::note
 
 Executing this on Ollama server running in CPU-mode will take longer to generate response. Hence, GPU-mode is
 recommended.

docs/docs/apis-ask/ask-with-image-urls.md

@@ -8,7 +8,7 @@ This API lets you ask questions along with the image files to the LLMs.
 These APIs correlate to
 the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) APIs.
 
-:::caution
+:::note
 
 Executing this on Ollama server running in CPU-mode will take longer to generate response. Hence, GPU-mode is
 recommended.

docs/docs/apis-ask/generate-embeddings.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 5
+sidebar_position: 6
 ---
 
 # Generate Embeddings
@@ -30,17 +30,17 @@ public class Main {
 
 You will get a response similar to:
 
-```json
+```javascript
  [
-  0.5670403838157654,
-  0.009260174818336964,
-  0.23178744316101074,
-  -0.2916173040866852,
-  -0.8924556970596313,
-  0.8785552978515625,
-  -0.34576427936553955,
-  0.5742510557174683,
-  -0.04222835972905159,
-  -0.137906014919281
+    0.5670403838157654,
+    0.009260174818336964,
+    0.23178744316101074,
+    -0.2916173040866852,
+    -0.8924556970596313,
+    0.8785552978515625,
+    -0.34576427936553955,
+    0.5742510557174683,
+    -0.04222835972905159,
+    -0.137906014919281
 ]
 ```

docs/docs/apis-ask/prompt-builder.md

@@ -0,0 +1,73 @@
+---
+sidebar_position: 5
+---
+
+# Prompt Builder
+
+This is designed for prompt engineering. It allows you to easily build the prompt text for zero-shot, one-shot, few-shot
+inferences.
+
+```java
+
+import io.github.amithkoujalgi.ollama4j.core.OllamaAPI;
+import io.github.amithkoujalgi.ollama4j.core.models.OllamaResult;
+import io.github.amithkoujalgi.ollama4j.core.types.OllamaModelType;
+import io.github.amithkoujalgi.ollama4j.core.utils.PromptBuilder;
+
+public class AskPhi {
+    public static void main(String[] args) throws Exception {
+
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        ollamaAPI.setRequestTimeoutSeconds(10);
+
+        String model = OllamaModelType.PHI;
+
+        PromptBuilder promptBuilder =
+                new PromptBuilder()
+                        .addLine("You are an expert coder and understand different programming languages.")
+                        .addLine("Given a question, answer ONLY with code.")
+                        .addLine("Produce clean, formatted and indented code in markdown format.")
+                        .addLine(
+                                "DO NOT include ANY extra text apart from code. Follow this instruction very strictly!")
+                        .addLine("If there's any additional information you want to add, use comments within code.")
+                        .addLine("Answer only in the programming language that has been asked for.")
+                        .addSeparator()
+                        .addLine("Example: Sum 2 numbers in Python")
+                        .addLine("Answer:")
+                        .addLine("```python")
+                        .addLine("def sum(num1: int, num2: int) -> int:")
+                        .addLine("    return num1 + num2")
+                        .addLine("```")
+                        .addSeparator()
+                        .add("How do I read a file in Go and print its contents to stdout?");
+
+        OllamaResult response = ollamaAPI.ask(model, promptBuilder.build());
+        System.out.println(response.getResponse());
+    }
+}
+```
+
+You will get a response similar to:
+
+```go
+package main
+
+import (
+    "fmt"
+    "io/ioutil"
+)
+
+func readFile(fileName string) {
+    file, err := ioutil.ReadFile(fileName)
+    if err != nil {
+        fmt.Fprintln(os.Stderr, "Error reading file:", err.Error())
+        return
+    }
+
+    f, _ := ioutil.ReadFile("file.txt")
+    if f != nil {
+        fmt.Println(f.String())
+    }
+}
+```

docs/docs/intro.md

@@ -2,10 +2,38 @@
 sidebar_position: 1
 ---
 
-# Intro
+# Introduction
 
 Let's get started with **Ollama4j**.
 
+## 🦙 What is Ollama?
+
+[Ollama](https://ollama.ai/) is an advanced AI tool that allows users to easily set up and run large language models
+locally (in CPU and GPU
+modes). With Ollama, users can leverage powerful language models such as Llama 2 and even customize and create their own
+models.
+
+## 👨‍💻 Why Ollama4j?
+
+Ollama4j was built for the simple purpose of integrating Ollama with Java applications.
+
+```mermaid
+  flowchart LR
+    o4j[Ollama4j]
+    o[Ollama Server]
+    o4j -->|Communicates with| o;
+    m[Models]
+    p[Your Java Project]
+    subgraph Your Java Environment
+        direction TB
+        p -->|Uses| o4j
+    end
+    subgraph Ollama Setup
+        direction TB
+        o -->|Manages| m
+    end
+```
+
 ## Getting Started
 
 ### What you'll need

docs/docusaurus.config.js

@@ -131,8 +131,13 @@ const config = {
             prism: {
                 theme: prismThemes.github,
                 darkTheme: prismThemes.dracula,
+                additionalLanguages: ['java'],
             },
         }),
+    markdown: {
+        mermaid: true,
+    },
+    themes: ['@docusaurus/theme-mermaid']
 };
 
 export default config;

docs/package.json

@@ -16,6 +16,7 @@
   "dependencies": {
     "@docusaurus/core": "3.0.1",
     "@docusaurus/preset-classic": "3.0.1",
+    "@docusaurus/theme-mermaid": "^3.0.1",
     "@mdx-js/react": "^3.0.0",
     "clsx": "^2.0.0",
     "prism-react-renderer": "^2.3.0",

pom.xml

@@ -4,7 +4,7 @@
 
     <groupId>io.github.amithkoujalgi</groupId>
     <artifactId>ollama4j</artifactId>
-    <version>1.0.38</version>
+    <version>1.0.40</version>
 
   <name>Ollama4j</name>
   <description>Java library for interacting with Ollama API.</description>
@@ -39,7 +39,7 @@
     <connection>scm:git:git@github.com:amithkoujalgi/ollama4j.git</connection>
     <developerConnection>scm:git:https://github.com/amithkoujalgi/ollama4j.git</developerConnection>
     <url>https://github.com/amithkoujalgi/ollama4j</url>
-    <tag>v1.0.38</tag>
+    <tag>v1.0.40</tag>
   </scm>
 
   <build>

src/main/java/io/github/amithkoujalgi/ollama4j/core/types/OllamaModelType.java

@@ -21,6 +21,7 @@ public class OllamaModelType {
   public static final String VICUNA = "vicuna";
   public static final String WIZARD_VICUNA_UNCENSORED = "wizard-vicuna-uncensored";
   public static final String PHIND_CODELLAMA = "phind-codellama";
+  public static final String PHI = "phi";
   public static final String ZEPHYR = "zephyr";
   public static final String WIZARDCODER = "wizardcoder";
   public static final String MISTRAL_OPENORCA = "mistral-openorca";

src/main/java/io/github/amithkoujalgi/ollama4j/core/utils/PromptBuilder.java

@@ -0,0 +1,69 @@
+package io.github.amithkoujalgi.ollama4j.core.utils;
+
+/**
+ * The {@code PromptBuilder} class is used to construct prompt texts for language models (LLMs). It
+ * provides methods for adding text, adding lines, adding separators, and building the final prompt.
+ *
+ * <p>Example usage:
+ *
+ * <pre>{@code
+ * PromptBuilder promptBuilder = new PromptBuilder();
+ * promptBuilder.add("This is a sample prompt for language models.")
+ *              .addLine("You can add lines to provide context.")
+ *              .addSeparator()
+ *              .add("Feel free to customize as needed.");
+ * String finalPrompt = promptBuilder.build();
+ * System.out.println(finalPrompt);
+ * }</pre>
+ */
+public class PromptBuilder {
+
+  private final StringBuilder prompt;
+
+  /** Constructs a new {@code PromptBuilder} with an empty prompt. */
+  public PromptBuilder() {
+    this.prompt = new StringBuilder();
+  }
+
+  /**
+   * Appends the specified text to the prompt.
+   *
+   * @param text the text to be added to the prompt
+   * @return a reference to this {@code PromptBuilder} instance for method chaining
+   */
+  public PromptBuilder add(String text) {
+    prompt.append(text);
+    return this;
+  }
+
+  /**
+   * Appends the specified text followed by a newline character to the prompt.
+   *
+   * @param text the text to be added as a line to the prompt
+   * @return a reference to this {@code PromptBuilder} instance for method chaining
+   */
+  public PromptBuilder addLine(String text) {
+    prompt.append(text).append("\n");
+    return this;
+  }
+
+  /**
+   * Appends a separator line to the prompt. The separator is a newline followed by a line of
+   * dashes.
+   *
+   * @return a reference to this {@code PromptBuilder} instance for method chaining
+   */
+  public PromptBuilder addSeparator() {
+    prompt.append("\n--------------------------------------------------\n");
+    return this;
+  }
+
+  /**
+   * Builds and returns the final prompt as a string.
+   *
+   * @return the final prompt as a string
+   */
+  public String build() {
+    return prompt.toString();
+  }
+}