{"id":23370575,"url":"https://github.com/micheldumontier/gba-rag","last_synced_at":"2026-04-30T09:38:07.273Z","repository":{"id":248174932,"uuid":"827925753","full_name":"micheldumontier/gba-rag","owner":"micheldumontier","description":"This is a demonstration project to provide LLM-based question answering over the website and documents of German Federal Joint Committee (G-BA). ","archived":false,"fork":false,"pushed_at":"2024-07-30T14:17:01.000Z","size":32,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T15:47:02.880Z","etag":null,"topics":["health","llama3","llamaindex","llm","qdrant-vector-database"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/micheldumontier.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":"2024-07-12T17:20:10.000Z","updated_at":"2025-02-25T08:18:41.000Z","dependencies_parsed_at":"2024-08-03T08:51:19.361Z","dependency_job_id":null,"html_url":"https://github.com/micheldumontier/gba-rag","commit_stats":{"total_commits":12,"total_committers":1,"mean_commits":12.0,"dds":0.0,"last_synced_commit":"5b0231e6ab27bedb692699b7b4d13bf7d25525d8"},"previous_names":["micheldumontier/gba-rag"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/micheldumontier%2Fgba-rag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/micheldumontier%2Fgba-rag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/micheldumontier%2Fgba-rag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/micheldumontier%2Fgba-rag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/micheldumontier","download_url":"https://codeload.github.com/micheldumontier/gba-rag/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247755588,"owners_count":20990626,"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":["health","llama3","llamaindex","llm","qdrant-vector-database"],"created_at":"2024-12-21T15:47:46.905Z","updated_at":"2026-04-30T09:38:07.230Z","avatar_url":"https://github.com/micheldumontier.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# gba-rag\nThis is a demonstration project to provide question answering over the website and documents of German [Federal Joint Committee (G-BA)](https://www.g-ba.de/). The G-BA is the highest decision-making body of the joint self-government of physicians, dentists, hospitals and health insurance funds in Germany.\n\nThis project uses the following technologies:\n - [LLamaIndex](https://www.llamaindex.ai/) framework\n - [Ollama](https://ollama.com/) to serve up an LLM (namely LLama3)\n - [Fastembed](https://github.com/qdrant/fastembed) to embed text with lightweight embedding models\n - [Qdrant](https://qdrant.tech/) vector store to store and retrieve embeddings\n \nIt also assumes you have a copy of the website.\n\n\n## Deployment\n### prepare the local environment\n```bash\npython -m venv .venv\n```\n\n### activate the local environment\n```bash\nsource .venv/bin/activate\n```\n\n### Deploy the vector database\n\nThe `docker-compose.yml` file contains the basic setup for running the Qdrant vector store. You can modify the basic settings there and in the `qdrant_config.yml` file (including the password). Currently, you'll need to modify the notebook if you changed the default settings. \n\n```bash\ncd vectordb\ndocker compose up -d\n```\n\n### Open and run the ipython notebook \nThe `notebook/gba-llamaindex.ipynb` notebook contains the code to run through the demo project.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicheldumontier%2Fgba-rag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmicheldumontier%2Fgba-rag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicheldumontier%2Fgba-rag/lists"}