Build a Production RAG App: PDFs, PII Masking, LangGraph Agents & Evaluation

Build a production-grade, enterprise-ready AI system from scratch! In this fast-paced 15-minute blueprint tutorial, we break down a massive 20-phase Retrieval-Augmented Generation (RAG) architecture using Jupyter Notebook and Anaconda.

We cover the entire lifecycle: from raw banking PDFs, PII masking, and evaluation metrics, straight through to advanced orchestration using LangChain, LangGraph workflows, Hybrid Search, and Autonomous RAG agent loops.

THE FULL 20-PHASE ARCHITECTURE PIPELINE:
00:00 - Phase 1: Document Ingestion (pypdf)
00:45 - Phase 2: Text Extraction & Aggregation
01:15 - Phase 3: Document Statistics & Complexity Analysis
01:45 - Phase 4: PII Detection (Microsoft Presidio)
02:15 - Phase 5: PII Masking & Data Redaction
03:00 - Phase 6: Text Cleaning & Noise Reduction
03:30 - Phase 7: Semantic Chunking (RecursiveCharacterTextSplitter)
04:15 - Phase 8: Text Embeddings (Sentence Transformers)
04:45 - Phase 9: Vector Database Indexing (FAISS)
05:15 - Phase 10: Semantic Vector Retrieval
05:45 - Phase 11: Cross-Encoder Reranking (MS-MARCO)
06:15 - Phase 12: Context Building & Prompt Payload
07:00 - Phase 13: LLM Generation (Local Ollama / Qwen)
07:45 - Phase 14: RAG Evaluation (Cosine Similarity & Grounding)
08:30 - Phase 15: LangChain Integration & Orchestration
09:45 - Phase 16: LangGraph Workflows & State Machine Coding
11:00 - Phase 17: Agentic RAG with Dynamic Tool Calling
12:15 - Phase 18: Autonomous RAG Loop with Self-Correction
13:30 - Phase 19: Hybrid Search Implementation (BM25 + Vector Search)
14:15 - Phase 20: Graph RAG & Production System Monitoring

COMPLETE STACK AND LIBRARIES USED:
• PDF Ingestion: pypdf (PdfReader)
• Data & Metrics: pandas, numpy, matplotlib, seaborn
• Security & Masking: presidio-analyzer, presidio-anonymizer
• Embeddings & Vectors: sentence-transformers (all-MiniLM-L6-v2), faiss-cpu
• LLM Client & Evaluation: requests, scikit-learn (cosine_similarity), ragas
• Advanced Orchestration: langchain, langgraph

If you are looking to deploy real-world, secure AI systems that don't just hallucinate but reason and self-correct, hit that SUBSCRIBE button, drop a 👍, and let me know your thoughts in the comments!

#LangChain #LangGraph #AgenticAI #RAG #GraphRAG #Python #JupyterNotebook #DataScience #GenerativeAI #Ollama

Видео Build a Production RAG App: PDFs, PII Masking, LangGraph Agents & Evaluation канала Ramkumar Nexus