{"id":27370136,"url":"https://github.com/datastaxdevs/ai-agent-java","last_synced_at":"2025-06-26T13:32:41.582Z","repository":{"id":237553392,"uuid":"794724091","full_name":"datastaxdevs/ai-agent-java","owner":"datastaxdevs","description":"Online workshop to learn how to build your own Java AI Agent","archived":false,"fork":false,"pushed_at":"2024-09-04T10:44:50.000Z","size":1956,"stargazers_count":11,"open_issues_count":0,"forks_count":4,"subscribers_count":4,"default_branch":"workshop-intro","last_synced_at":"2025-04-13T08:57:07.832Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/datastaxdevs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-05-01T20:20:45.000Z","updated_at":"2025-04-05T10:53:30.000Z","dependencies_parsed_at":"2024-05-10T14:48:04.724Z","dependency_job_id":"f12f1512-0bdb-435c-a00f-ca4fb5e06996","html_url":"https://github.com/datastaxdevs/ai-agent-java","commit_stats":null,"previous_names":["datastaxdevs/ai-agent-java"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/datastaxdevs/ai-agent-java","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datastaxdevs%2Fai-agent-java","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datastaxdevs%2Fai-agent-java/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datastaxdevs%2Fai-agent-java/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datastaxdevs%2Fai-agent-java/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datastaxdevs","download_url":"https://codeload.github.com/datastaxdevs/ai-agent-java/tar.gz/refs/heads/workshop-intro","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datastaxdevs%2Fai-agent-java/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262076526,"owners_count":23255027,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-04-13T08:48:05.227Z","updated_at":"2025-06-26T13:32:41.543Z","avatar_url":"https://github.com/datastaxdevs.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Build your own Java RAG AI Agent\n\n ☕️ Welcome to this workshop to build your own Java AI Agent using Retrieval Augmented Generation.\n\n 🏆 It leverages the best of open-source for fast implementation of the RAG pattern for production quality applications.\n\n 🤩 The completed RAG ChatBot will demonstrate how your AI Agent can do\n - LLM and Prompt Engineering\n - Conversational Memory\n - Vector Similarity Searching and Dense Passage Retrieval\n - Transform, chunk, and vectorise unstructured files like PDFs\n - Caching of LLM responses for latency and cost performance\n - Reranking of search results\n - Vector calculations using JVector\n - Online searching using the Tavily service\n - Hybrid Searching\n - Closed Loop Feedback System\n - LLM Function Calling\n - Time Series Vector Similarity Searching\n\n \n\n ♻️  This workshop uses Java 21, Spring AI and Vaadin for the UI.  The use of Spring and Vaadin is minimal, the code is intended to be re-used in other frameworks.\n\n 👩‍ It is CQL compatbile with Apache Cassandra® 5.0 and AstraDB Vector.  Database schemas and data models are intentionally flexible so the concepts in the workshop can be retrofitted to your needs and your production.\n\n 🙇‍ The workshop will use the services: OpenAI, Tavily, and AstraDB.  You will need accounts and api keys for each of these.\n\n 🌴 Each step in the workshop is a separate branch in this repository, you will need to be familiar with git switching between branches.\n\n 💪🏽 To move on to read the [requirements setup step](../workshop-intro-requirements), do the following:\n```\ngit switch workshop-intro-requirements\n```\n\n\n***\n![java](./src/assets/java.png) ![vaadin](./src/assets/vaadin.png) ![spring](./src/assets/spring.png) ![tika](./src/assets/tika.jpeg) ![openai](./src/assets/openai.png) ![cassandra](./src/assets/cassandra.png) ![tavily](./src/assets/tavily.jpeg)\n\n***\nAll work is copyrighted to DataStax, Inc\n  ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatastaxdevs%2Fai-agent-java","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatastaxdevs%2Fai-agent-java","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatastaxdevs%2Fai-agent-java/lists"}