Building a Privacy-First RAG Pipeline with LangChain and Local LLMs

A code-heavy tutorial on building a 'Chat with your PDF' app that never touches the internet. Uses widely available open-source tools. Key Sections: 1. **Architecture:** Ingestion -> Embedding -> Vector Store -> Retrieval -> Generation. 2. **The Stack:** LangChain, Ollama (Llama 3), ChromaDB or pgvector, Nomad/local embeddings. 3. **Code Implementation:** Python implementation steps. Handling document parsing. 4. **Optimization:** Improving retrieval context window usage. 5. **UI Layer:** Quickly adding a Streamlit interface. **Internal Linking Strategy:** Link to Pillar. Link to 'Ollama vs vLLM'. Continue reading Building a Privacy-First RAG Pipeline with LangChain and Local LLMs on SitePoint .