Sanya-09/ThinkRag

This project builds a RAG pipeline where documents are processed, chunked, and embedded using transformer models, then stored in a vector database . Relevant content is retrieved via similarity search and passed to an LLM to generate accurate, context-aware responses, reducing hallucinations and enabling domain-specific Q&A. ## Production Grade RAG Python App (No Docker) This project is now configured to run fully local by default. - Vector DB uses embedded Qdrant storage at `qdrant_storage/`. - Streamlit ingests PDFs and answers questions directly (no Inngest event server required). ## 1. Create environment and install dependencies A. For mac and linux ```bash python3 -m venv .venv source .venv/bin/activate pip install --upgrade pip pip install streamlit qdrant-client sentence-transformers llama-index llama-index-readers-file python-dotenv openai PyPDF2 ``` B. For windows ```bash python -m venv .venv .venv\Scripts\activate pip install --upgrade pip pip install streamlit qdrant-client sentence-transformers llama-index llama-index-readers-file python-dotenv openai PyPDF2 ``` ## 2. Configure environment Create a `.env` file in the project root: ```env OPENAI_API_KEY=your_openai_api_key OPENAI_CHAT_MODEL=gpt-4o-mini # Optional: use remote Qdrant instead of local embedded mode # QDRANT_URL=localhost # QDRANT_LOCAL_PATH=qdrant_storage ``` Notes: - `OPENAI_API_KEY` is required for embeddings. - If `OPENAI_API_KEY` is missing, answer generation falls back to context preview, but ingestion/query embeddings will still need the key. ## 3. Dependencies to install A. For mac and linux ```bash python3 -m venv .venv source .venv/bin/activate pip install --upgrade pip pip install streamlit pip install qdrant-client pip install sentence-transformers pip install llama-index pip install llama-index-readers-file pip install python-dotenv pip install openai pip install PyPDF2 ``` B. For windows ```bash python -m venv .venv .venv\Scripts\activate pip install --upgrade pip pip install streamlit pip install qdrant-client pip install sentence-transformers pip install llama-index pip install llama-index-readers-file pip install python-dotenv pip install openai pip install PyPDF2 ``` ## 4. Run the Streamlit ap …