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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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Day 7 - Dense Embedding - RAG
indumathi__r profile

Day 7 - Dense Embedding - RAG

#llm #machinelearning #nlp #rag
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2 min read
I Added a Verify Layer to My Local RAG to Catch Hallucinations. It Caught Me Being Wrong Twice About My Own Corpus
sysoft profile

I Added a Verify Layer to My Local RAG to Catch Hallucinations. It Caught Me Being Wrong Twice About My Own Corpus

#ai #rag #llm #machinelearning
1
Comments 1
8 min read
Part 6 — RAG Recall Quality from 60% to 93%: Building a Continuous Evaluation Loop (Not Gut Feeling)
jamesli profile

Part 6 — RAG Recall Quality from 60% to 93%: Building a Continuous Evaluation Loop (Not Gut Feeling)

#llm #performance #rag #softwareengineering
7
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10 min read
CRAG Implementation using TS
tejhagargi profile

CRAG Implementation using TS

#rag #graphrag #crag #genai
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2 min read
Reel VCR for LLM APIs, AI-Generated PySpark & MacOS AI Agent Demo
soytuber profile
soy

Reel VCR for LLM APIs, AI-Generated PySpark & MacOS AI Agent Demo

#ai #rag #automation
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3 min read
Search in the LLM Era: Vector RAG vs Vectorless Search vs LLM-Wiki
siraj_lakhani profile

Search in the LLM Era: Vector RAG vs Vectorless Search vs LLM-Wiki

#ai #database #llm #rag
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4 min read
RAG in production: three levels from search to conversation
wandawwl profile

RAG in production: three levels from search to conversation

#rag #ai #webdev
1
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3 min read
Tigergraph Hackathon
lochan_visnucheluvaiahga profile

Tigergraph Hackathon

#showdev #ai #llm #rag
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4 min read
Part 1 — How Do Unstructured Documents Become a Searchable Knowledge Base? Five Key Engineering Decisions in the Ingestion Pipeline
jamesli profile

Part 1 — How Do Unstructured Documents Become a Searchable Knowledge Base? Five Key Engineering Decisions in the Ingestion Pipeline

#ai #architecture #dataengineering #rag
5
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9 min read
Part 3 — Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation
jamesli profile

Part 3 — Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation

#ai #architecture #nlp #rag
6
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10 min read
Part 5 — Installing a Black Box Recorder in Your RAG System: 4-Layer Metadata + 3-Level Verification, Root Cause in 5 Minutes
jamesli profile

Part 5 — Installing a Black Box Recorder in Your RAG System: 4-Layer Metadata + 3-Level Verification, Root Cause in 5 Minutes

#ai #architecture #monitoring #rag
6
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9 min read
Part 2 — Why Does One System Need Three Chunking Strategies? And One Document Type Shouldn't Be Chunked At All
jamesli profile

Part 2 — Why Does One System Need Three Chunking Strategies? And One Document Type Shouldn't Be Chunked At All

#ai #architecture #llm #rag
6
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9 min read
Day 13 of 60: Today I Started Learning RAG
mbugua_cessy profile

Day 13 of 60: Today I Started Learning RAG

#ai #learning #llm #rag
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2 min read
How to Build a HIPAA Compliant AI Ecosystem Without the Cloud
offisong_emmanuel_c6bc311 profile

How to Build a HIPAA Compliant AI Ecosystem Without the Cloud

#ai #privacy #rag #security
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15 min read
RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source)
__2ddbae6bb7d profile

RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source)

#ai #machinelearning #rag #llm
Comments 2
2 min read
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