{"id":24329612,"url":"https://github.com/itz-me-nvs/streamlit_doc_rag","last_synced_at":"2026-04-15T15:34:12.659Z","repository":{"id":272573226,"uuid":"917025594","full_name":"itz-me-nvs/streamlit_doc_rag","owner":"itz-me-nvs","description":"Streamlit-powered Document Retrieval QA (RAG) Web App: A dynamic application that answers user queries based solely on the uploaded documents, ensuring accurate, context-driven responses tailored to your data","archived":false,"fork":false,"pushed_at":"2025-01-16T20:05:55.000Z","size":11,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-29T01:43:25.530Z","etag":null,"topics":["groq","huggingface","rag","streamlit"],"latest_commit_sha":null,"homepage":"","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/itz-me-nvs.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,"zenodo":null}},"created_at":"2025-01-15T08:00:13.000Z","updated_at":"2025-01-16T20:05:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"169d8bf9-8a24-4c84-8888-c318f843ab15","html_url":"https://github.com/itz-me-nvs/streamlit_doc_rag","commit_stats":null,"previous_names":["itz-me-nvs/streamlit_doc_rag"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/itz-me-nvs/streamlit_doc_rag","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itz-me-nvs%2Fstreamlit_doc_rag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itz-me-nvs%2Fstreamlit_doc_rag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itz-me-nvs%2Fstreamlit_doc_rag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itz-me-nvs%2Fstreamlit_doc_rag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/itz-me-nvs","download_url":"https://codeload.github.com/itz-me-nvs/streamlit_doc_rag/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itz-me-nvs%2Fstreamlit_doc_rag/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31847951,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-15T15:24:51.572Z","status":"ssl_error","status_checked_at":"2026-04-15T15:24:39.138Z","response_time":63,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["groq","huggingface","rag","streamlit"],"created_at":"2025-01-18T00:16:52.413Z","updated_at":"2026-04-15T15:34:12.636Z","avatar_url":"https://github.com/itz-me-nvs.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Streamlit Document Retrieval QA (RAG) Web App\n\nA powerful and interactive web application that answers user queries based solely on the uploaded documents. This app uses cutting-edge NLP techniques to retrieve and process information, ensuring accurate, context-driven responses tailored to your data. Built with Streamlit, LangChain, and HuggingFace, it allows seamless integration of your documents for a custom question-answering experience.\n\n# Live Playground\nFeel free to explore my Streamlit web application built for retrieval-augmented generation (RAG): [click here](https://workmate-doc-rag.streamlit.app/)\n\n## Features\n- Upload PDF documents for analysis.\n- Ask questions based on the content of the uploaded documents.\n- Accurate, concise, and context-aware responses.\n- Responses are restricted to the context of the provided documents.\n- User-friendly interface built with Streamlit.\n\n---\n\n## Prerequisites\nEnsure you have the following installed on your system:\n- Python 3.8 or higher\n- pip (Python package manager)\n- Virtual environment (optional but recommended)\n\n---\n\n## Installation\n\n1. **Clone the Repository**\n   ```bash\n   git clone https://github.com/itz-me-nvs/streamlit_doc_rag.git\n   cd streamlit_doc_rag\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitz-me-nvs%2Fstreamlit_doc_rag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fitz-me-nvs%2Fstreamlit_doc_rag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitz-me-nvs%2Fstreamlit_doc_rag/lists"}