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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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Between Structure and Imagination: What happens when code becomes a sketchpad for ideas.

Between Structure and Imagination: What happens when code becomes a sketchpad for ideas.

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8 min read
Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

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10 min read
RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

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3 min read
Building RAG Applications with LangChain(Part-5)

Building RAG Applications with LangChain(Part-5)

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3 min read
Beyond Search: How to Chat with Your Documents Using AstraDB Vector Database, Docling and Granite

Beyond Search: How to Chat with Your Documents Using AstraDB Vector Database, Docling and Granite

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15 min read
The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

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7 min read
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

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2 min read
Agent Engineering: Orchestrating and Architecting Intelligent AI Agents

Agent Engineering: Orchestrating and Architecting Intelligent AI Agents

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9 min read
Comprehending RAGs with a keyword search [LLM A1]

Comprehending RAGs with a keyword search [LLM A1]

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3 min read
Graphs over Chains - My LangGraph Journey (part-1)

Graphs over Chains - My LangGraph Journey (part-1)

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3 min read
Democratizing AI: Building a RAG System with Gemma and LangChain

Democratizing AI: Building a RAG System with Gemma and LangChain

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3 min read
Retrieval-Augmented Generation (RAG): A Deep Technical Dive

Retrieval-Augmented Generation (RAG): A Deep Technical Dive

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2 min read
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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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
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