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Merge pull request #47 from TheovanKraay/java-langchain-nosql
Java langchain nosql api vector search sample
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‎Java/CosmosDB-MongoDB-vCore-Langchain/README.md‎

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### Prerequisites
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- Azure Cosmos DB Monogo Account
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- Azure Cosmos DB Mongo Account
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- Connection string
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- Azure Open AI Service
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- Deploy text-davinci-003 model for Embeding
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```
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## Getting Started
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When you run the application for the first time, it will read and vectorize docs in the `PDF_docs` folder, and insert them into Cosmos DB MongoDB vCore vector store. To begin, just ask a question in command line.
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When you run the application for the first time, it will read and vectorize docs in the `PDF_docs` folder (you can add your own pdf or txt docs here), and insert them into Cosmos DB MongoDB vCore vector store. To begin, just ask a question in command line.
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‎Java/CosmosDB-NoSQL-Langchain/README.md‎

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# Use Azure Cosmos DB NoSQL API with Langchain in Java.
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This sample provides a demo showcasing the usage of the RAG pattern for integrating Azure Open AI services with custom data in Azure Cosmos NoSQL API with [vector search using DiskANN index](https://learn.microsoft.com/azure/cosmos-db/nosql/vector-search) and [langchain framework for java](https://github.com/langchain4j/langchain4j).
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### Prerequisites
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- Azure Cosmos DB NoSQL API Account
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- Azure Cosmos DB NoSQL API endpoint
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- Azure Cosmos DB NoSQL API key
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- Azure Open AI Service
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- Deploy text-davinci-003 model for Embeding
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- Deploy gpt-35-turbo model for Chat Completion
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### Installation
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``` bash
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mvn clean install
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```
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### Run
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Before running the application, you need to set environment variables. Either export them in command line or set system variables:
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```bash
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export COSMOSDB_ENDPOINT="Azure Cosmos DB NoSQL API endpoint"
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export COSMOSDB_KEY="Azure Cosmos DB NoSQL API key"
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export AZURE_OPENAI_ENDPOINT="endpoint for your Azure OpenAI account"
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export AZURE_OPENAI_APIKEY="key for your Azure OpenAI account"
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export AZURE_OPENAI_CHATDEPLOYMENTID="deployment id for your Azure OpenAI chat embeddings"
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export AZURE_OPENAI_EMBEDDINGDEPLOYMENTID="deployment is for your Azure OpenAI chat completions"
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```
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Then run the app:
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```bash
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mvn exec:java
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```
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## Getting Started
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When you run the application for the first time, it will read and vectorize docs in the `PDF_docs` folder (you can add your own pdf or txt docs here), and insert them into Cosmos DB NoSQL API vector store. To begin, just ask a question in command line. By default, your private data will be used to form a response regardless of it's accuracy (experiment with changing the prompt to change the chat completion behaviour).
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‎Java/CosmosDB-NoSQL-Langchain/pom.xml‎

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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-parent</artifactId>
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<version>0.29.0-SNAPSHOT</version>
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</parent>
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<artifactId>langchain4j-azure-cosmos-nosql-sample</artifactId>
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<packaging>jar</packaging>
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<name>LangChain4j :: Integration :: Azure CosmosDB NoSQL API</name>
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<dependencies>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-azure-cosmos-nosql</artifactId>
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<version>0.31.0</version>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j</artifactId>
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<version>0.29.0</version>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-core</artifactId>
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<version>0.30.0</version>
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</dependency>
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<dependency>
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<groupId>org.projectlombok</groupId>
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<artifactId>lombok</artifactId>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-api</artifactId>
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</dependency>
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<dependency>
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<groupId>org.junit.jupiter</groupId>
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<artifactId>junit-jupiter-engine</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.assertj</groupId>
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<artifactId>assertj-core</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-embeddings-all-minilm-l6-v2-q</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.testcontainers</groupId>
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<artifactId>junit-jupiter</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.testcontainers</groupId>
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<artifactId>mongodb</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.tinylog</groupId>
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<artifactId>tinylog-impl</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.tinylog</groupId>
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<artifactId>slf4j-tinylog</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-document-parser-apache-pdfbox</artifactId>
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<version>0.31.0</version>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-azure-open-ai</artifactId>
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<version>0.29.0</version>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-open-ai</artifactId>
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<version>0.31.0</version>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<plugin>
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<groupId>org.codehaus.mojo</groupId>
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<artifactId>exec-maven-plugin</artifactId>
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<version>3.0.0</version>
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<configuration>
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<mainClass>azure.cosmos.nosql.demo.AzureCosmosDBNoSQLLangchainDemo</mainClass>
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</configuration>
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</plugin>
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<plugin>
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<artifactId>maven-compiler-plugin</artifactId>
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<version>3.8.1</version>
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<configuration>
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<source>17</source>
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<target>17</target>
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</configuration>
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</plugin>
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</plugins>
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</build>
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</project>

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