{"id":22558665,"url":"https://github.com/donggeun10/llm-chatbot","last_synced_at":"2025-10-09T12:33:10.977Z","repository":{"id":263370037,"uuid":"889875216","full_name":"Donggeun10/llm-chatbot","owner":"Donggeun10","description":"This chat-bot backend system will be using Local Ollama' function calling","archived":false,"fork":false,"pushed_at":"2025-03-28T06:09:46.000Z","size":438,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T07:22:37.623Z","etag":null,"topics":["chatbot","langchain4j","spring-boot"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Donggeun10.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}},"created_at":"2024-11-17T13:20:56.000Z","updated_at":"2025-03-28T06:09:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"543bc9a6-3568-403f-812e-c742bb8e3136","html_url":"https://github.com/Donggeun10/llm-chatbot","commit_stats":null,"previous_names":["donggeun10/llm-chatbot"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Donggeun10%2Fllm-chatbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Donggeun10%2Fllm-chatbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Donggeun10%2Fllm-chatbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Donggeun10%2Fllm-chatbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Donggeun10","download_url":"https://codeload.github.com/Donggeun10/llm-chatbot/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246025918,"owners_count":20711575,"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":["chatbot","langchain4j","spring-boot"],"created_at":"2024-12-07T20:16:32.116Z","updated_at":"2025-10-09T12:33:05.960Z","avatar_url":"https://github.com/Donggeun10.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n## Motivation\n### Chatbot with Langchain4j\nhttps://javaetmoi.com/2024/11/integrer-un-chatbot-dans-une-webapp-java-avec-langchain4j/\n\n### 1. Introduction\n- Chatbot Backend System have been using Spring boot with Langchain4j to communicate with the backend Ollama local AI system docker container.\n- In order to enhance answer, application is used Langchain4j Tool(Function Calling) and RAG (Retrieval Augmented Generation/https://docs.langchain4j.dev/tutorials/rag#easy-rag).\n- Because Some models such as EXAONE are not supported Tools.\n- Queries should be routed to the appropriate RAG document.\n- However, Combining Tools and RAG is hard to develop. so, it is not fully implemented yet. It is under development.(12/18/2024)\n\n### 2. Frameworks\n- Spring Boot\n- Langchain4j\n- Vaadin Hilla React (Frontend)\n- Lombok\n- JUnit\n\n### 3. Architecture Diagram\n- \u003cimg src=\"img.png\" width=\"700\"\u003e\n\n### 4. ollama-0.5.5-linux-amd64.tgz download page\n```\nhttps://github.com/ollama/ollama/releases\n```\n\n### 5. Docker container creation and execution command\n```\ndocker-compose build --no-cache\ndocker build -t demo-chatbot:local .  \u0026\u0026 docker run -p 9090:8080  -e\"SPRING_PROFILES_ACTIVE=exaone\" -e\"APPLICATION_PDF=pdf\"  demo-chatbot:local\ndocker build -t ollama-gpu:local -f Dockerfile_ollama . \u0026\u0026 docker run --gpus=all -p 11435:11434 ollama-gpu:local\ndocker build -t trunk-pytorch:local -f Dockerfile_pytorch . \u0026\u0026 docker run --gpus=all trunk-pytorch:local\ndocker build -t trunk-pytorch:local -f Dockerfile_pytorch . \u0026\u0026 docker run -e TERM=xterm --tty  --gpus=all trunk-pytorch:local\ndocker build -t redis:local -f Dockerfile_redis . \u0026\u0026 docker run -p 7379:6379 redis:local\ndocker build -t redis-stack:local -f Dockerfile_redisStack . \u0026\u0026 docker run -p 8379:6379 redis-stack:local\n```\n\n### 6. Additional information\n```\nhttps://github.com/Donggeun10/llm-chatbot/wiki/Docker-container-with-GPU-in-Windows\nhttps://github.com/Donggeun10/llm-chatbot/wiki/Private-LLM-Chatbot-application-with-RAG-and-Tools\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdonggeun10%2Fllm-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdonggeun10%2Fllm-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdonggeun10%2Fllm-chatbot/lists"}