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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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Code Explanation: "Minions: Collaborative On-Device and Cloud LLMs"

Code Explanation: "Minions: Collaborative On-Device and Cloud LLMs"

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6 min read
Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Opus, and OpenAI text-embedding-3-small

Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Opus, and OpenAI text-embedding-3-small

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8 min read
Model Context Protocol (MCP): The USB-C for AI Applications

Model Context Protocol (MCP): The USB-C for AI Applications

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3 min read
Understanding RAGAS: A Comprehensive Framework for RAG System Evaluation

Understanding RAGAS: A Comprehensive Framework for RAG System Evaluation

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4 min read
Overview: "InfiniRetri: Enhancing LLMs for Infinite-Length Context via Attention-Based Retrieval"

Overview: "InfiniRetri: Enhancing LLMs for Infinite-Length Context via Attention-Based Retrieval"

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4 min read
A Practical Guide to RAG with DeepSeek R1 & Ollama

A Practical Guide to RAG with DeepSeek R1 & Ollama

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1 min read
OpenAI Compatible API

OpenAI Compatible API

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10 min read
Code Explanation: "Repomix: Codebase Packaging for AI Consumption"

Code Explanation: "Repomix: Codebase Packaging for AI Consumption"

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5 min read
Beginning a Series on RAG for Nordic APIs
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Beginning a Series on RAG for Nordic APIs

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1 min read
How to Build a RAG Chatbot with LangChain, Milvus, Together AI Mixtral 8x7B Instruct v0.1, and OpenAI text-embedding-3-large

How to Build a RAG Chatbot with LangChain, Milvus, Together AI Mixtral 8x7B Instruct v0.1, and OpenAI text-embedding-3-large

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8 min read
RAG Chatbot: Build with LangChain, Milvus, Fireworks AI 🔥Llama 3.1 8B Instruct, and Cohere embed-multilingual-v2.0

RAG Chatbot: Build with LangChain, Milvus, Fireworks AI 🔥Llama 3.1 8B Instruct, and Cohere embed-multilingual-v2.0

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8 min read
Understanding the Key Components of RAG: Retriever and Generator
Cover image for Understanding the Key Components of RAG: Retriever and Generator

Understanding the Key Components of RAG: Retriever and Generator

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2 min read
Overview:"Agentic Retrieval-Augmented Generation: A Comprehensive Survey"

Overview:"Agentic Retrieval-Augmented Generation: A Comprehensive Survey"

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8 min read
DuckDB vs. ClickHouse Local: A Comparative Analysis for Analytical Workloads

DuckDB vs. ClickHouse Local: A Comparative Analysis for Analytical Workloads

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4 min read
LangChain + FalkorDB: Building AI Agents with Memory
Cover image for LangChain + FalkorDB: Building AI Agents with Memory

LangChain + FalkorDB: Building AI Agents with Memory

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2 min read
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