{"id":26856828,"url":"https://github.com/leodeveloper/ollamaraglocallargelanguage","last_synced_at":"2026-04-18T02:09:07.774Z","repository":{"id":239274830,"uuid":"799055492","full_name":"leodeveloper/OllamaRAGLocalLargeLanguage","owner":"leodeveloper","description":"how to create a local RAG (Retrieval Augmented Generation) pipeline that processes and allows you to chat with your PDF file(s) using Ollama and LangChain!","archived":false,"fork":false,"pushed_at":"2024-05-11T06:09:17.000Z","size":2636,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T15:46:18.715Z","etag":null,"topics":["chromadb","llama3","ollama","open-source","python","rag","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/leodeveloper.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":"2024-05-11T04:11:33.000Z","updated_at":"2024-06-12T11:37:36.000Z","dependencies_parsed_at":"2024-05-11T06:47:36.640Z","dependency_job_id":null,"html_url":"https://github.com/leodeveloper/OllamaRAGLocalLargeLanguage","commit_stats":null,"previous_names":["leodeveloper/ollamaraglocallargelanguage"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FOllamaRAGLocalLargeLanguage","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FOllamaRAGLocalLargeLanguage/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FOllamaRAGLocalLargeLanguage/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FOllamaRAGLocalLargeLanguage/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/leodeveloper","download_url":"https://codeload.github.com/leodeveloper/OllamaRAGLocalLargeLanguage/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246399822,"owners_count":20770907,"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":["chromadb","llama3","ollama","open-source","python","rag","vector-database"],"created_at":"2025-03-31T00:29:42.453Z","updated_at":"2026-04-18T02:09:07.692Z","avatar_url":"https://github.com/leodeveloper.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RAG Chat with Ollama and LangChain\n\n![RAG Chat Logo](https://github.com/leodeveloper/OllamaRAGLocalLargeLanguage/blob/main/RAGLocalOllama.png)\n\nWelcome to RAG Chat, your local Retrieval Augmented Generation (RAG) pipeline! This application allows you to interactively chat with your PDF files using the power of Ollama and LangChain.\n\n## Features\n\n- **RAG Pipeline**: Utilizes the latest advancements in NLP with Llama3 and Ollama to process and enhance your PDF documents.\n- **Interactive Chat**: Engage in conversational interactions with your PDF content, asking questions and getting detailed responses.\n- **LangChain Integration**: Seamlessly integrates with LangChain for enhanced language understanding and generation.\n- **Local Processing**: All processing is done locally, ensuring data privacy and security.\n\n## Installation\n\nTo install RAG Chat, follow these steps:\n\n1. Clone this repository to your local machine.\n   ```bash\n    https://github.com/leodeveloper/OllamaRAGLocalLargeLanguage\n\n##courtesy\nhttps://github.com/tonykipkemboi/ollama_pdf_rag\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleodeveloper%2Follamaraglocallargelanguage","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleodeveloper%2Follamaraglocallargelanguage","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleodeveloper%2Follamaraglocallargelanguage/lists"}