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#rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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Scope chat agents with citations and multi-pass search

Scope chat agents with citations and multi-pass search

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5 min read
How I Debugged a KV-Cache Offloading Bug in vLLM

How I Debugged a KV-Cache Offloading Bug in vLLM

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2 min read
Day 13: Retrieval-Augmented Generation (RAG) — Chatting with Proprietary Documents

Day 13: Retrieval-Augmented Generation (RAG) — Chatting with Proprietary Documents

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3 min read
A Field Guide to RAG Failure Modes: Garbled Scans, Duplicate Chunks, and Leaky Indexes

A Field Guide to RAG Failure Modes: Garbled Scans, Duplicate Chunks, and Leaky Indexes

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6 min read
Chunking: Getting the First Cut Right

Chunking: Getting the First Cut Right

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7 min read
The Company Behind Cursor's Vector Search Just Killed the Vector-First Database

The Company Behind Cursor's Vector Search Just Killed the Vector-First Database

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7 min read
Why Kep Runs Entirely on Ollama: The Architecture Behind Local-Only AI for Regulated Industries

Why Kep Runs Entirely on Ollama: The Architecture Behind Local-Only AI for Regulated Industries

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4 min read
Production RAG with LangChain & LangGraph: Retrieval, Reranking & Agentic Workflows

Production RAG with LangChain & LangGraph: Retrieval, Reranking & Agentic Workflows

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11 min read
Building a Production-Ready RAG System: Architecture, Optimization & Monitoring

Building a Production-Ready RAG System: Architecture, Optimization & Monitoring

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12 min read
RAG Evaluation & Monitoring: Metrics, Frameworks & Production Observability

RAG Evaluation & Monitoring: Metrics, Frameworks & Production Observability

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14 min read
Fine-Tuning vs RAG vs Prompt Engineering: When to Use Which

Fine-Tuning vs RAG vs Prompt Engineering: When to Use Which

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5 min read
Why Your RAG Chatbot Still Hallucinates: 5 Design Mistakes (and How to Fix Them)

Why Your RAG Chatbot Still Hallucinates: 5 Design Mistakes (and How to Fix Them)

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3 min read
Production RAG with LangChain & LangGraph: End-to-End Implementation

Production RAG with LangChain & LangGraph: End-to-End Implementation

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11 min read
Building RAG from Scratch: No Frameworks Needed

Building RAG from Scratch: No Frameworks Needed

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8 min read
Vector Databases for AI Apps: Pinecone vs Weaviate vs Qdrant

Vector Databases for AI Apps: Pinecone vs Weaviate vs Qdrant

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4 min read
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