{"id":19513233,"url":"https://github.com/szymciem8/thesis-ai-assistant","last_synced_at":"2026-04-12T15:07:04.938Z","repository":{"id":206733334,"uuid":"716641401","full_name":"szymciem8/Thesis-AI-Assistant","owner":"szymciem8","description":"Thesis Assistant powered by OpenAI, Langchain and Vector databases.","archived":false,"fork":false,"pushed_at":"2023-11-17T23:18:10.000Z","size":188,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T12:11:01.088Z","etag":null,"topics":["docker","docker-compose","elasticsearch","langchain","nlp","openai","python"],"latest_commit_sha":null,"homepage":"https://thesis-ai-assistant.streamlit.app/","language":"Python","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/szymciem8.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}},"created_at":"2023-11-09T15:04:25.000Z","updated_at":"2023-11-17T14:08:51.000Z","dependencies_parsed_at":"2024-01-12T02:14:22.800Z","dependency_job_id":null,"html_url":"https://github.com/szymciem8/Thesis-AI-Assistant","commit_stats":{"total_commits":32,"total_committers":2,"mean_commits":16.0,"dds":0.15625,"last_synced_commit":"8f0b9c31c508d524d783f53d7c7a7a3ed192e5f3"},"previous_names":["szymciem8/thesis-ai-assistant"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FThesis-AI-Assistant","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FThesis-AI-Assistant/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FThesis-AI-Assistant/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FThesis-AI-Assistant/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/szymciem8","download_url":"https://codeload.github.com/szymciem8/Thesis-AI-Assistant/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240762438,"owners_count":19853481,"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":["docker","docker-compose","elasticsearch","langchain","nlp","openai","python"],"created_at":"2024-11-10T23:29:11.220Z","updated_at":"2026-04-12T15:07:04.902Z","avatar_url":"https://github.com/szymciem8.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Thesis-AI-Assistant\n\n## Overview\n\nThesis-AI-Assistant is an application designed to assist users in the process of researching and analyzing PDF articles for academic purposes. The application provides a user-friendly interface for downloading PDF articles, conducting chat-based interactions for analysis, and generating summaries and keywords. Additionally, users can upload multiple PDFs and ask questions about them using a language model.\n\n![Single article chat](/images/single_article_chat_screen.png)\n\n\n## Features\n\n### 1. PDF Article Analysis\n\n- **Download PDF Articles:** Easily download PDF articles for analysis directly within the application.\n\n- **Chat Interface:** Interact with the AI Assistant through a chat interface, enabling a natural conversation for analysis.\n\n- **Elasticsearch or Chroma Integration:** Choose between Elasticsearch or Chroma for efficient and powerful search capabilities.\n\n### 2. Summary and Keywords Generation\n\n- **Generate Summaries:** Obtain concise summaries of the content within the PDF articles.\n\n- **Extract Keywords:** Automatically extract keywords to provide a quick overview of the main topics covered.\n\n### 3. Bulk PDF Analysis with Language Model\n\n- **Upload Multiple PDFs:** Streamline your research process by uploading multiple PDFs at once.\n\n- **Ask Questions with LLM (Large Language Model):** Utilize the power of a large language model to ask specific questions about the content of the uploaded PDFs.\n\n## Getting Started\n\n### Prerequisites\n\nThe app is built with Docker. Use the command below to start the app locally. \n```\ndocker-compose up \n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fszymciem8%2Fthesis-ai-assistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fszymciem8%2Fthesis-ai-assistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fszymciem8%2Fthesis-ai-assistant/lists"}