{"id":26451077,"url":"https://github.com/parth1899/chat-with-pdf","last_synced_at":"2025-08-01T07:44:09.069Z","repository":{"id":272163760,"uuid":"915165268","full_name":"parth1899/Chat-With-PDF","owner":"parth1899","description":"Chat-With-PDF is an AI-powered tool that lets users interact with PDF documents using natural language. Built with LangChain, RAG, Qdrant, and Mistral (Groq), it enables efficient document search, question-answering, and retrieval-augmented generation for seamless information extraction. ","archived":false,"fork":false,"pushed_at":"2025-02-26T21:05:36.000Z","size":488,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-26T22:19:49.496Z","etag":null,"topics":[],"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/parth1899.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":"2025-01-11T06:12:10.000Z","updated_at":"2025-02-26T21:06:23.000Z","dependencies_parsed_at":"2025-01-12T16:44:16.372Z","dependency_job_id":null,"html_url":"https://github.com/parth1899/Chat-With-PDF","commit_stats":null,"previous_names":["parth1899/chat-with-pdf"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FChat-With-PDF","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FChat-With-PDF/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FChat-With-PDF/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FChat-With-PDF/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/parth1899","download_url":"https://codeload.github.com/parth1899/Chat-With-PDF/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244259966,"owners_count":20424648,"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":"2025-03-18T16:31:36.084Z","updated_at":"2025-03-18T16:31:36.657Z","avatar_url":"https://github.com/parth1899.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🗂️ Chat-With-PDF\n\n## 📌 About the Project\n**Chat-With-PDF** is an AI-powered application that allows users to interact with PDF documents using natural language. Built with **LangChain, RAG, Qdrant, and Mistral (Groq)**, this tool enables seamless document search, question-answering, and retrieval-augmented generation (RAG) for a more efficient and intuitive user experience.\n\n---\n\n## 🚀 Features\n- **Conversational AI** – Chat with PDFs and get relevant answers instantly.\n- **Qdrant Vector Database** – Efficiently stores and retrieves document embeddings.\n- **RAG (Retrieval-Augmented Generation)** – Enhances the accuracy of responses by retrieving relevant document sections.\n- **Fast Processing** – Leverages Mistral (Groq) for optimized AI interactions.\n- **Streamlit Interface** – Easy-to-use web-based application for seamless user experience.\n\n---\n\n## 🛠️ Installation \u0026 Setup\n### 1️⃣ Run Qdrant using Docker\nEnsure Qdrant is running locally before proceeding:\n```bash\ndocker run -p 6333:6333 -v .:/qdrant/storage/ qdrant/qdrant\n```\n\n### 2️⃣ Set Up the Qdrant Database\nRun the ingestion script to process and store PDF embeddings:\n```bash\npython ingest_bot.py\n```\n\n### 3️⃣ Start the Application\nLaunch the Streamlit web interface to interact with PDFs:\n```bash\nstreamlit run app_bot.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparth1899%2Fchat-with-pdf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparth1899%2Fchat-with-pdf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparth1899%2Fchat-with-pdf/lists"}