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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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How I ditched LangChain to create my own custom RAG

How I ditched LangChain to create my own custom RAG

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10 min read
How I Built a RAG System in Rails Using Nomic Embeddings and OpenAI

How I Built a RAG System in Rails Using Nomic Embeddings and OpenAI

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Comments 1
2 min read
Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

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7 min read
The Hidden Bias in AI Code Generation

The Hidden Bias in AI Code Generation

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4 min read
halfvec: Half the Bits, Twice the speed?

halfvec: Half the Bits, Twice the speed?

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7 min read
Build a RAG-powered assistant

Build a RAG-powered assistant

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2 min read
The Bug That Cost Us $10,000: A Postmortem on a Rogue AWS Lambda Function

The Bug That Cost Us $10,000: A Postmortem on a Rogue AWS Lambda Function

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3 min read
Build Smart AI Apps with RAG: Smart Chatbots You Can Actually Trust

Build Smart AI Apps with RAG: Smart Chatbots You Can Actually Trust

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2 min read
Couchbase Weekly Updates - July 11, 2025

Couchbase Weekly Updates - July 11, 2025

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2 min read
Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store

Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store

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2 min read
3 Issues That Remote MCP Developers Should Avoid

3 Issues That Remote MCP Developers Should Avoid

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3 min read
Retrieval-Augmented Generation (RAG) for AI starter

Retrieval-Augmented Generation (RAG) for AI starter

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3 min read
Enterprise AI feature development with LLMs

Enterprise AI feature development with LLMs

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2 min read
RAG+ is kinda cool

RAG+ is kinda cool

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6 min read
Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

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3 min read
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