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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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We Almost Deployed a Temporal Knowledge Graph. The Eval Said No.

We Almost Deployed a Temporal Knowledge Graph. The Eval Said No.

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7 min read
I Benchmarked My Homelab Memory Stack: Hybrid Search + Local Reranker Took LoCoMo from 63% to 80%

I Benchmarked My Homelab Memory Stack: Hybrid Search + Local Reranker Took LoCoMo from 63% to 80%

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9 min read
Building a Multi-Agent AI Pipeline That Ships: LangGraph, RAG, and Evals That Matter

Building a Multi-Agent AI Pipeline That Ships: LangGraph, RAG, and Evals That Matter

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6 min read
Hybrid Retrieval v2: Qwen Embeddings, BM25, and RRF with a FastEmbed Reranker

Hybrid Retrieval v2: Qwen Embeddings, BM25, and RRF with a FastEmbed Reranker

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10 min read
RAG Is Not Enough: The Evolution of Enterprise AI

RAG Is Not Enough: The Evolution of Enterprise AI

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19 min read
Agentic RAG: making retrieval a decision the agent controls

Agentic RAG: making retrieval a decision the agent controls

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10 min read
RAG - Memory Systems

RAG - Memory Systems

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3 min read
Put the Security Check Inside the Query, Not After It

Put the Security Check Inside the Query, Not After It

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5 min read
Portable Semantic Search for Private SaaS Documents Using Embeddings Reranking and RAG

Portable Semantic Search for Private SaaS Documents Using Embeddings Reranking and RAG

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7 min read
Direct Providers vs Portable Contracts — Ask-Your-Docs Semantic Search for SaaS RAG

Direct Providers vs Portable Contracts — Ask-Your-Docs Semantic Search for SaaS RAG

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9 min read
Web Search API for AI Developers: How It Works and When to Use One

Web Search API for AI Developers: How It Works and When to Use One

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7 min read
Un chatbot RAG multilingüe sobre tus PDFs con FAISS y reranking (coste de búsqueda: 0 €)

Un chatbot RAG multilingüe sobre tus PDFs con FAISS y reranking (coste de búsqueda: 0 €)

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2 min read
Why I Chose PDF RAG Chunking and Metadata for Catalog Semantic Search

Why I Chose PDF RAG Chunking and Metadata for Catalog Semantic Search

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6 min read
Why XML Prompting?

Why XML Prompting?

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2 min read
Beyond Vector Search: Building Better RAG Retrieval with Hybrid Search and Reranking

Beyond Vector Search: Building Better RAG Retrieval with Hybrid Search and Reranking

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11 min read
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