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nrashwin04/pdf-rag-chatbot

Chat with your PDFs using RAG — LangChain, ChromaDB, and sentence-transformers with a Streamlit UI. Supports Ollama (local) and Claude API backends.

Python GitHub ↗
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AI関連スコア
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SUMMARY AI要約 by gpt-5-mini

pdf-rag-chatbot is a Retrieval-Augmented Generation (RAG) app that lets you upload PDFs and query them in natural language. It’s aimed at developers, researchers, students, or anyone who needs to search and extract grounded answers from document collections (built as an MSc CS portfolio project). Key features: - Upload multiple PDFs and query across them - Semantic search using sentence-transformers (all-MiniLM-L6-v2) with chunking (500 tokens, 50 overlap) - Vector storage with ChromaDB and LangChain orchestration - Embeddings via HuggingFace; PDF parsing with PyPDFLoader - Choice of LLM backend: Ollama (local) or Claude API (Anthropic) - Source citations for answers and persistent in-session chat history - Streamlit UI and simple local setup (pip install, streamlit run app.py)

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (2)
Anthropic Ollama
🧩 AIフレームワーク (1)
LangChain
🗄️ ベクトルDB (1)
Chroma
🔢 埋め込みモデル (1)
sentence-transformers
🤖 LLMモデル (2)
Claude Llama
🌐 Web/アプリフレームワーク (1)
Streamlit

使用言語(バイト数比)

Python
100%

オーナー情報

アカウント
nrashwin04
タイプ
User
フォロワー
1

MSc CS student diving into ML, AI & data science 🤖 Building things, breaking things, learning from both. Open to internships.

日付

GitHub作成日 2026-05-15
最終Push 2026-05-16
当サイト初検出 2026-05-15
最終取得 2026-05-16 18:16

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