#rag
- 21 Sept 2026 · Study
Agentic AI · Multi-agent systems
Multi-agent patterns (supervisor/router, sequential crew, validator) with a small supervisor that routes questions to specialist agents, and how my Multi-Agent-RAG and AgentForge projects use them.
- 13 May 2026 · Study
LangChain · RAG
Retrieval-augmented generation end to end with LCEL: retrieve chunks from my own notes, stuff them into a grounded prompt, answer with a local model, and return the sources with the answer.
- 30 Apr 2026 · Study
LangChain · Text splitters
Why documents are split into chunks for retrieval, how RecursiveCharacterTextSplitter tries paragraph, then sentence, then word boundaries, and what chunk size and overlap do.
- 24 Apr 2026 · Study
LangChain · Document loaders
The Document object (page_content + metadata), writing a small custom loader for text and CSV files, and why metadata matters later for filtering and citing sources.
- 20 Apr 2026 · Projects
Built this: Enterprise Agentic RAG Orchestrator (Multi-Agent-RAG)
A Supervisor → Worker → Validator multi-agent RAG system with LangGraph Corrective RAG, hybrid dense + BM25 retrieval with cross-encoder reranking, a Qdrant semantic cache and a security layer.
- 18 Jul 2025 · Paper summary
Paper summary: A Survey of Context Engineering for Large Language Models
A survey of over 1,400 papers that defines "context engineering": retrieving, processing and managing everything put into an LLM's context, and how RAG, memory, tools and multi-agent systems build on it.
- 28 Aug 2024 · Paper summary
Paper summary: Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Writing in the Margins processes a long context chunk by chunk during prefill, writes short "margin" notes per chunk, keeps the relevant ones, and uses them to answer, improving off-the-shelf models without fine-tuning.