{"id":18028489,"url":"https://github.com/interactivetech/pdk-llm-rag-demo","last_synced_at":"2025-04-04T20:45:19.038Z","repository":{"id":211515955,"uuid":"729262313","full_name":"interactivetech/pdk-llm-rag-demo","owner":"interactivetech","description":"Proof of Concept showcases how to continuously finetune and deploy of RAG systems using Pachyderm and Determined","archived":false,"fork":false,"pushed_at":"2023-12-09T02:43:17.000Z","size":2759,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-10T05:25:03.283Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/interactivetech.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2023-12-08T18:47:08.000Z","updated_at":"2023-12-09T02:43:20.000Z","dependencies_parsed_at":null,"dependency_job_id":"79478d59-f6e6-4431-81f2-4b6593e4d043","html_url":"https://github.com/interactivetech/pdk-llm-rag-demo","commit_stats":null,"previous_names":["interactivetech/pdk-llm-rag-demo"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/interactivetech%2Fpdk-llm-rag-demo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/interactivetech%2Fpdk-llm-rag-demo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/interactivetech%2Fpdk-llm-rag-demo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/interactivetech%2Fpdk-llm-rag-demo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/interactivetech","download_url":"https://codeload.github.com/interactivetech/pdk-llm-rag-demo/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247249601,"owners_count":20908211,"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":"2024-10-30T08:42:20.652Z","updated_at":"2025-04-04T20:45:19.020Z","avatar_url":"https://github.com/interactivetech.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Continuous Retrieval Augmentation Generation (RAG) with the HPE MLOPs Platform\n\nAuthor: andrew.mendez@hpe.com\n\nThis is a proof of concept showing how developers can create a Retrieval Augmentation Generation (RAG) system using Pachyderm and Determined AI.\nThis is a unique RAG system sitting on top of an MLOPs platform, allowing developers to continuously update and deploy a RAG application as more data is ingested.\nWe also provide an example of how developers can automatically trigger finetuning an LLM on a instruction tuning dataset.\n\nWe use the following stack:\n* ChromaDB for the vector database\n* Chainlit for the User Interface\n* Mistral 7B Instruct for the large language model\n* Determined for finetuning the Mistral Model\n* Pachyderm to manage dataset versioning and pipeline orchestration.\n\n# Pre-requisite\n* This Demo requires running with an A100 80GB GPU.\n* This Demo assumes you have pachyderm and determined installed on top of kubernetes. A guide will be provided soon to show how to install pachyderm and kubernetes.\n\n# How to Run\n* Run `Deploy RAG with PDK.pynb` to deploy a RAG system using a pretrained LLM\n* Run `Finetune and Deploy RAG with PDK.ipynb` to both finetune an LLM and deploy a finetuned model.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finteractivetech%2Fpdk-llm-rag-demo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finteractivetech%2Fpdk-llm-rag-demo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finteractivetech%2Fpdk-llm-rag-demo/lists"}