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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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🎉 8,215+ downloads in just 30 days!
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🎉 8,215+ downloads in just 30 days!

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1 min read
Architectural Strategies for External Knowledge Integration in LLMs: A Comparative Analysis of RAG and CAG

Architectural Strategies for External Knowledge Integration in LLMs: A Comparative Analysis of RAG and CAG

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14 min read
When Your AI Agent Lies to You: Tackling Real-World LLM Hallucinations

When Your AI Agent Lies to You: Tackling Real-World LLM Hallucinations

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16 min read
LLM Agent Architecture for Scalable Company Summaries

LLM Agent Architecture for Scalable Company Summaries

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4 min read
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

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1 min read
Building an AI Anime Suggestion Tool with LangChain and Streamlit

Building an AI Anime Suggestion Tool with LangChain and Streamlit

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13 min read
How to move beyond Vibe Checking

How to move beyond Vibe Checking

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3 min read
Fixing the Agent Handoff Problem in LlamaIndex's AgentWorkflow System
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Fixing the Agent Handoff Problem in LlamaIndex's AgentWorkflow System

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14 min read
𝐀 𝐅𝐮𝐥𝐥𝐲 𝐋𝐨𝐜𝐚𝐥 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐔𝐬𝐢𝐧𝐠 𝐎𝐥𝐥𝐚𝐦𝐚, 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 & 𝐂𝐡𝐫𝐨𝐦𝐚𝐃𝐁

𝐀 𝐅𝐮𝐥𝐥𝐲 𝐋𝐨𝐜𝐚𝐥 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐔𝐬𝐢𝐧𝐠 𝐎𝐥𝐥𝐚𝐦𝐚, 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 & 𝐂𝐡𝐫𝐨𝐦𝐚𝐃𝐁

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2 min read
All Data and AI Weekly #184 - April 07, 2025
Cover image for All Data and AI Weekly #184 - April 07, 2025

All Data and AI Weekly #184 - April 07, 2025

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2 min read
Processing data with “Data Prep Kit” (part 2)

Processing data with “Data Prep Kit” (part 2)

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8 min read
Beyond Basic Practice: Creating the JobSage AI Interview Simulator with Gemini & Embeddings

Beyond Basic Practice: Creating the JobSage AI Interview Simulator with Gemini & Embeddings

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5 min read
Step-by-Step: Build Your First RAG Chatbot Fast

Step-by-Step: Build Your First RAG Chatbot Fast

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7 min read
RAG+RAGAS+LangChain+FAISS+OpenAI
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RAG+RAGAS+LangChain+FAISS+OpenAI

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2 min read
RAG and LangChain Basics

RAG and LangChain Basics

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4 min read
Serverless RAG Chat with AppSync Events and Bedrock Knowledge Bases
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Serverless RAG Chat with AppSync Events and Bedrock Knowledge Bases

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11 min read
Part 2: AI Agent Truly Intelligent?
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Part 2: AI Agent Truly Intelligent?

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2 min read
Part 3: How TrustGraph's Knowledge Cores End the Memento Nightmare
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Part 3: How TrustGraph's Knowledge Cores End the Memento Nightmare

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3 min read
Crawling web sites using “Data Prep Kit”

Crawling web sites using “Data Prep Kit”

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4 min read
Embeddings Demystified: Math, Meaning & Machines

Embeddings Demystified: Math, Meaning & Machines

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3 min read
🌟 Demystifying Amazon Nova: AWS's Powerful New Family of AI Models
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🌟 Demystifying Amazon Nova: AWS's Powerful New Family of AI Models

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5 min read
[Feedback wanted] Connect user data to AI with PersonalAgentKit for LangGraph

[Feedback wanted] Connect user data to AI with PersonalAgentKit for LangGraph

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1 min read
Smarter RAG Systems with Graphs
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Smarter RAG Systems with Graphs

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4 min read
Your GenAI system is only as smart as its retrieval layer.
Cover image for Your GenAI system is only as smart as its retrieval layer.

Your GenAI system is only as smart as its retrieval layer.

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1 min read
Retrieval Technique Series-3.Why Do Logging Systems Primarily Use LSM Trees Instead of B+ Trees?

Retrieval Technique Series-3.Why Do Logging Systems Primarily Use LSM Trees Instead of B+ Trees?

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2 min read
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