{"id":27443037,"url":"https://github.com/davramenko89/streamlit-rag","last_synced_at":"2025-04-15T01:18:40.210Z","repository":{"id":285491492,"uuid":"958199495","full_name":"davramenko89/streamlit-rag","owner":"davramenko89","description":"Simple Streamlit RAG App to chat with your data (PDF, DOC, XLS, TXT)","archived":false,"fork":false,"pushed_at":"2025-04-03T16:45:55.000Z","size":4284,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-15T01:18:23.682Z","etag":null,"topics":["langchain","python","rag","streamlit"],"latest_commit_sha":null,"homepage":"https://simple-rag-langchain-openai.streamlit.app/","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/davramenko89.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":"2025-03-31T20:03:19.000Z","updated_at":"2025-04-03T16:46:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"59098a0e-b8de-436c-bc55-e3ece2f5c482","html_url":"https://github.com/davramenko89/streamlit-rag","commit_stats":null,"previous_names":["justint0x/streamlit-rag","davramenko89/streamlit-rag"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davramenko89%2Fstreamlit-rag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davramenko89%2Fstreamlit-rag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davramenko89%2Fstreamlit-rag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davramenko89%2Fstreamlit-rag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/davramenko89","download_url":"https://codeload.github.com/davramenko89/streamlit-rag/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248986312,"owners_count":21194025,"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":["langchain","python","rag","streamlit"],"created_at":"2025-04-15T01:18:39.760Z","updated_at":"2025-04-15T01:18:40.204Z","avatar_url":"https://github.com/davramenko89.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RAG Application using Streamlit and Langchain\n\n![Banner](doc/screen-record.gif)\n\nThis project is a Retrieval-Augmented Generation (RAG) application built using Streamlit and Langchain. The application allows users to retrieve information from various document formats including PDF, DOC, XLS, and TXT files.\n\n## Project Structure\n\n```\nmy-rag-app\n├── app.py                # Main entry point of the Streamlit application\n├── data                  # Directory containing sample data files\n│   ├── sample.pdf        # Sample PDF file for testing\n│   ├── sample.doc        # Sample DOC file for testing\n│   ├── sample.xls        # Sample XLS file for testing\n│   └── sample.txt        # Sample TXT file for testing\n├── requirements.txt      # List of dependencies for the project\n├── utils                 # Directory containing utility functions\n│   └── retriever.py      # Functions for retrieving content from files\n└── README.md             # Documentation for the project\n```\n\n## Setup Instructions\n\n1. Clone the repository:\n   ```\n   git clone \u003crepository-url\u003e\n   cd my-rag-app\n   ```\n\n2. Install the required dependencies:\n   ```\n   pip install -r requirements.txt\n   ```\n\n## Usage Guidelines\n\n1. Run the Streamlit application:\n   ```\n   streamlit run app.py\n   ```\n\n2. Open your web browser and navigate to `http://localhost:8501` to access the application.\n\n## Application Functionality\n\n- The application allows users to upload documents in PDF, DOC, XLS, and TXT formats.\n- It utilizes Langchain for processing and retrieving relevant information from the uploaded documents.\n- Users can input queries and receive generated responses based on the content of the documents.\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a pull request or open an issue for any enhancements or bug fixes.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdavramenko89%2Fstreamlit-rag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdavramenko89%2Fstreamlit-rag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdavramenko89%2Fstreamlit-rag/lists"}