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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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Building a RAG pipeline with Kreuzberg and LangChain
t_ivanova profile

Building a RAG pipeline with Kreuzberg and LangChain

#rag #ai #machinelearning
1
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6 min read
Chunking for context: 6 Strategies Every AI Engineer Should Know
busycaesar profile

Chunking for context: 6 Strategies Every AI Engineer Should Know

#ai #rag
1
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6 min read
Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform
dasanirban834 profile

Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform

#aws #llm #rag #terraform
2
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12 min read
TalentArch-AI: Building an Architectural Talent Matching Agent
exploredataaiml profile

TalentArch-AI: Building an Architectural Talent Matching Agent

#ai #python #rag #recruitment
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5 min read
LLM-as-a-Judge: Automated Scoring and Reliability vs. Human Evaluation
lamhot profile

LLM-as-a-Judge: Automated Scoring and Reliability vs. Human Evaluation

#ai #llm #rag #testing
2
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6 min read
VaultGuard-AI: Building a Local-First Hybrid Search RAG for Private Equity Intelligence
exploredataaiml profile

VaultGuard-AI: Building a Local-First Hybrid Search RAG for Private Equity Intelligence

#ai #python #rag #privacy
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5 min read
The Knowledge Base That Lied to 10,000 Customers (And How We Caught It)
faraz_farhan_83ed23a154a2 profile

The Knowledge Base That Lied to 10,000 Customers (And How We Caught It)

#rag #llm #ai #knowledgebase
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6 min read
The “Too Smart” Knowledge Base Problem: When Your AI Knows Too Much for Its Own Good
faraz_farhan_83ed23a154a2 profile

The “Too Smart” Knowledge Base Problem: When Your AI Knows Too Much for Its Own Good

#rag #nlp #knowledgebase #promptengineering
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5 min read
Choosing the Right Vector Embedding Model and Dimension: A School Analogy That Makes Everything Clear
sreeni5018 profile

Choosing the Right Vector Embedding Model and Dimension: A School Analogy That Makes Everything Clear

#ai #machinelearning #rag #tutorial
4
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5 min read
Beyond RAG: Building an AI Companion with "Deep Memory" using Knowledge Graphs
juandastic profile

Beyond RAG: Building an AI Companion with "Deep Memory" using Knowledge Graphs

#ai #llm #rag
19
Comments 28
7 min read
I Built a pip-installable RAG Chatbot — Chat With Any Document in 3 Lines of Python
lakshmisravyavedantham profile

I Built a pip-installable RAG Chatbot — Chat With Any Document in 3 Lines of Python

#python #ai #langchain #rag
1
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2 min read
Beyond the Context Window: Choosing Between RAG and MCP
alapati_suryapruthvi_955e profile

Beyond the Context Window: Choosing Between RAG and MCP

#ai #llm #mcp #rag
Comments 1
3 min read
I Built Vector-Only Search First. Here's Why I Had to Rewrite It.
rosen_hristov profile

I Built Vector-Only Search First. Here's Why I Had to Rewrite It.

#python #machinelearning #database #rag
1
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4 min read
Dev Log: Building a Secure RAG Agent for 150k Records
seafluxtechnologies profile

Dev Log: Building a Secure RAG Agent for 150k Records

#ai #rag #backend #n8n
1
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3 min read
Humans, Machines, and Ratatouille 🐀
iacriolla profile

Humans, Machines, and Ratatouille 🐀

#ai #rag #architecture #development
Comments 1
3 min read
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