Gemma 4 12B: MTP Speculative Decoding and RAG for Faster Local Inference
· 5 min read
How Gemma 4 12B combines encoder-free multimodal design, MTP speculative decoding, and RAG to run OCR and document Q&A on consumer hardware.
rag
Rag Articles
26 articles in this category
7 Verification Layers for Agentic RAG Systems
· 8 min read
Beyond hallucination, agentic systems face overextension, conflation, and citation mismatch — seven architectural patterns to build verification into AI knowledge agents.
Build a Full-Stack RAG Document Copilot with FastAPI, React, and Supabase
· 14 min read
End-to-end walkthrough of building a Document Copilot — a RAG application that lets users ask questions over SEC filings with grounded answers, citations, and chat history, deployed on Railway.
Qwen Code Memory: Native Auto-Memory, mem0 MCP, and MemPalace for Self-Improvement
· 10 min read
Qwen Code ships built-in auto-memory. Combine it with mem0's semantic search and MemPalace's verbatim history for a coding agent that remembers across sessions and self-improves.
Small LLMs with RAG, Context7, and Agent Memory: Building a Local Coding Agent
· 8 min read
How to build a capable local coding agent using small LLMs (Qwen3 8B, Gemma3 12B) augmented with Context7 for up-to-date documentation, semantic RAG for project context, and agent memory frameworks for persistent knowledge.
Voiceflow: RAG-Based Intent Recognition Replaces Traditional NLU
· 5 min read
Voiceflow replaced traditional NLU with a RAG-based intent recognition system using embeddings — training in seconds, understanding nuance, and requiring far fewer utterance examples.
RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
· 10 min read
A structured comparison of the three approaches to improving LLM outputs — retrieval-augmented generation, fine-tuning, and prompt engineering — with a decision framework for choosing the right method.
GraphRAG with Qdrant and Neo4j: Architecture, Cost & Team Planning
· 15 min read
Enterprise deep-dive into building GraphRAG systems combining Qdrant vector search with Neo4j knowledge graphs — covering architecture, implementation patterns, cost analysis, and team structure.
RAG Optimization: Why Off-the-Shelf Pipelines Fail and How to Fix Them
· 8 min read
A structured analysis of the five critical levers in RAG systems — chunking, metadata, embeddings, fine-tuning, and relevance scoring — based on Snorkel AI's research findings.
OpenAI Index-Free Agentic RAG: No Chunks, No Embeddings, Just Reasoning
· 8 min read
OpenAI introduces a multi-agent RAG system that uses GPT-4.1's million-token context to retrieve from documents without embeddings or vector stores — trading per-query cost for higher accuracy on complex legal and regulatory documents.
RAG Architecture: Structured Extraction and Query Filtering
· 6 min read
How adding LLM-powered data structuring at index time and query time transformed a RAG system from 50% to 95%+ recall — an architectural deep dive.
RAGFlow: Deep Document Parsing and Agentic Workflows for Enterprise LLMs
· 5 min read
An in-depth look at RAGFlow's architecture, commercial licensing, and how it compares to top enterprise RAG alternatives in 2026.
Knowledge Graph RAG: Graph-Based Retrieval vs Vector Databases
· 7 min read
How knowledge graphs address the limitations of traditional vector-based RAG by preserving structural relationships, enabling multi-hop reasoning, and supporting global, local, and DRIFT search modes.
DELEGATE-52: Frontier LLMs Corrupt 25% of Documents in 20-Step Workflows
· 7 min read
Microsoft Research's DELEGATE-52 benchmark reveals that all 19 tested LLMs silently corrupt documents during long delegated editing tasks, with only Python reaching production-readiness.
RAG Architecture: From Basic Retrieval to Advanced Techniques
· 5 min read
How retrieval-augmented generation transforms AI chatbots through indexing, retrieval, and generation stages — plus advanced techniques like Graph RAG and reranking.
CAG: Cache Augmented Generation — RAG Alternative Explained
· 11 min read
How Cache Augmented Generation pre-loads documents into LLM context via KV caching, eliminating retrieval entirely. Paper analysis, implementation approaches across OpenAI, Anthropic, Gemini, and local LLMs.
Anthropic Contextual Retrieval: Context-Aware Chunking for RAG
· 5 min read
How Anthropic's Contextual Retrieval prepends document-level context to each chunk before embedding and BM25 indexing, reducing retrieval failures by 49%.
Karpathy Wiki vs OpenBrain: The Write-Time vs Query-Time Memory Fork
· 6 min read
Deep analysis of the architectural difference between Andrej Karpathy's Wiki approach (compile at write time) and Nate Jones' OpenBrain (synthesize at query time)—and why the hybrid solution may be the future.
Karpathy LLM Wiki: A Knowledge Compounding Pattern for Personal AI
· 7 min read
Analysis of Andrej Karpathy's LLM Wiki pattern—how LLMs can build and maintain persistent, interlinked knowledge bases that compound over time.
Permission-Aware RAG: Hybrid Retrieval with Secure Filtering
· 11 min read
Build RAG systems that enforce who can see what by resolving permissions once, filtering inside the database, and combining vector + BM25 search for accuracy and security.
CocoIndex Code: AST-Aware Semantic Code Search for AI Coding Agents
· 9 min read
How cocoindex-code uses Tree-sitter chunking and incremental re-indexing to give AI coding agents whole-repo context with 70% fewer tokens.
Agentmemory: Persistent Memory Architecture for AI Coding Agents
· 5 min read
A deep dive into the 4-tier memory consolidation model and triple-stream retrieval system that makes agentmemory the most sophisticated memory system for AI agents.
LLM Wiki: The Pattern That Turns AI Into Your Knowledge Partner
· 13 min read
Andrej Karpathy's LLM Wiki pattern — a persistent, compounding knowledge base maintained by AI — hit 5,000+ stars in days. Here's the full architecture, what the community discovered, and the structural gaps that could make it collapse.
DIY Agentic RAG: Complete Guide to Building Your Own AI Knowledge System
· 23 min read
Understand RAG vs Long Context, decode the acronyms (CAG, KV Cache, RLMs), and learn how to build a local RAG agent with zero ongoing costs.
Build Your Own Palantir: Open-Source Stack for Real-Time Intelligence Systems
· 8 min read
A developer's guide to building a Palantir-like system using open-source tools: Kafka for data ingestion, Spark for stream processing, Neo4j for knowledge graphs, and LLMs for autonomous agents.
Comprehensive Guide to RAG Strategies: Optimizing AI Agent Knowledge Retrieval
· 6 min read
Explore 11 key RAG strategies including re-ranking, agentic RAG, knowledge graphs, and contextual retrieval to enhance your AI agents' performance and accuracy.