Topic Cluster

RAG & Vector Search

Master retrieval-augmented generation, vector databases, embeddings, and semantic search systems.

23 articles in this topic

Apr 23, 2026

Your 1M Context Window Is Lying: What Chroma's Context Rot Study Proves

Chroma tested 18 frontier models across long contexts. All of them degraded — 30%+ accuracy drops when the answer sits mid-document, 7.9% loss from length alone. Here's the cap and the compaction loop we ship.

Apr 16, 2026

Karpathy's LLM Wiki Pattern: When Compiled Knowledge Beats RAG

Andrej Karpathy's LLM Wiki compiles raw sources into a maintained knowledge base before queries ever arrive — eliminating embedding drift, chunk-boundary errors, and retrieval noise. Here's when it beats RAG and when it doesn't.

Apr 1, 2026

Agentic RAG Explained: How Agent-Controlled Retrieval Beats Fixed Pipelines

Traditional RAG pipelines hit 34% accuracy on complex queries. Agentic RAG's agent-controlled retrieval loop—with routing, grading, and self-correction—pushes that to 78%. Here's the architecture and how to build it.

Mar 20, 2026

LazyGraphRAG: 700x Cheaper GraphRAG That Actually Works

Microsoft's LazyGraphRAG cuts GraphRAG query costs by 700x and indexing costs by 99.9% by deferring LLM calls to query time. Here's how it works and when to use it.

Mar 3, 2026

Pinecone vs Qdrant: Which Vector Database Wins in 2026?

Qdrant delivers 2x lower latency at half the cost, but Pinecone ships in days with zero ops. We tested both in production—here's which fits your team.

Mar 3, 2026

RAG Reranking: When It Actually Improves Retrieval

Cross-encoder reranking boosted our client's RAG accuracy from 73% to 91%—but added 300ms that killed another's chatbot. Here's how to decide.

Mar 3, 2026

Weaviate Pricing in 2026: Free Tier, Plans, and Real Costs

Weaviate's free sandbox lasts 14 days. We break down Flex ($45/mo), Premium ($400/mo), self-hosted costs, and when each tier actually makes financial sense.

Feb 18, 2026

GraphRAG Implementation: What 12 Million Nodes Taught Us

We built a GraphRAG system with Neo4j for a 14-source enterprise platform. Here's how entity extraction, graph modeling, and query routing work at scale.

Jan 12, 2026

How to Tell If Your RAG System Actually Works

Most teams measure RAG success with vibes, not metrics. Learn the specific evaluation approaches that reveal whether your retrieval pipeline delivers accurate, relevant results.

RAG & Vector Search

Your 1M Context Window Is Lying: What Chroma's Context Rot Study Proves

Karpathy's LLM Wiki Pattern: When Compiled Knowledge Beats RAG

Agentic RAG Explained: How Agent-Controlled Retrieval Beats Fixed Pipelines

LazyGraphRAG: 700x Cheaper GraphRAG That Actually Works

Pinecone vs Qdrant: Which Vector Database Wins in 2026?

RAG Reranking: When It Actually Improves Retrieval

Weaviate Pricing in 2026: Free Tier, Plans, and Real Costs

GraphRAG Implementation: What 12 Million Nodes Taught Us

How to Tell If Your RAG System Actually Works

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AI Security

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RAG & Vector Search

Your 1M Context Window Is Lying: What Chroma's Context Rot Study Proves

Karpathy's LLM Wiki Pattern: When Compiled Knowledge Beats RAG

Agentic RAG Explained: How Agent-Controlled Retrieval Beats Fixed Pipelines

LazyGraphRAG: 700x Cheaper GraphRAG That Actually Works

Pinecone vs Qdrant: Which Vector Database Wins in 2026?

RAG Reranking: When It Actually Improves Retrieval

Weaviate Pricing in 2026: Free Tier, Plans, and Real Costs

GraphRAG Implementation: What 12 Million Nodes Taught Us

How to Tell If Your RAG System Actually Works

Explore Other Topics

AI Agents

AI Security

LLMs & Models

AI for Business

AI Development Tools