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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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When Good RAG Systems Fail (And How Production Teams Prevent It)
surajrkhonde profile

When Good RAG Systems Fail (And How Production Teams Prevent It)

#ai #rag #beginners #software
1
Comments
9 min read
Parsing documents for air-gapped RAG: no cloud, no JVM, no Python
alexpua profile

Parsing documents for air-gapped RAG: no cloud, no JVM, no Python

#rust #rag #llm #opensource
Comments
5 min read
AICurt - A Lightweight Python Toolkit for Preparing Text Before AI Processing
krishnatadi profile

AICurt - A Lightweight Python Toolkit for Preparing Text Before AI Processing

#ai #python #rag #agents
Comments
4 min read
How I Built a Portfolio Risk & Return Tracker with EODHD
kevin_menesesgonzlez profile

How I Built a Portfolio Risk & Return Tracker with EODHD

#python #rag #llm #pdf
Comments
5 min read
Your baseline scored 0.000. That's a broken harness, not a result.
jacksonxly profile

Your baseline scored 0.000. That's a broken harness, not a result.

#rag #llm #testing #ai
Comments 1
4 min read
Qdrant vs Pinecone: Self-Hosted Vector Search for Production RAG
faisal_nadeem_752520c3e03 profile

Qdrant vs Pinecone: Self-Hosted Vector Search for Production RAG

#vectordatabase #rag #programming #ai
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11 min read
RAG Chunking Strategy: How to Preserve Context Instead of Destroying It
faisal_nadeem_752520c3e03 profile

RAG Chunking Strategy: How to Preserve Context Instead of Destroying It

#ai #rag #machinelearning #programming
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12 min read
The Watermelon Effect: How My AI Scored 94% in Testing But Only 22.2% in Real Use
kumar_swamy_0b18518741d91 profile

The Watermelon Effect: How My AI Scored 94% in Testing But Only 22.2% in Real Use

#ai #llm #rag #testing
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6 min read
AI builder essentials: tokens, context windows and RAG 101
annthurium profile

AI builder essentials: tokens, context windows and RAG 101

#tokenomics #rag #tokenmaxxing #ai
6
Comments
1 min read
André Dias Moreira Prol: Securely Connecting AI to Internal Docs With RAG
andr_diasmoreiraprol_b profile

André Dias Moreira Prol: Securely Connecting AI to Internal Docs With RAG

#ai #rag #llm #enterprise
Comments
3 min read
Why Agent Memory Is Harder Than RAG (And What To Do About It)
joe_83920aecb4db91e002112 profile

Why Agent Memory Is Harder Than RAG (And What To Do About It)

#ai #agents #memory #rag
Comments
6 min read
RAG Database Design: SQL, Full-Text Search, Vector Search, and Context Retrieval
puffball1567 profile

RAG Database Design: SQL, Full-Text Search, Vector Search, and Context Retrieval

#ai #database #rag #llm
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14 min read
Building an Enterprise RAG Knowledge Assistant: Lessons from Production
kirankrishnap profile

Building an Enterprise RAG Knowledge Assistant: Lessons from Production

#ai #rag #productivity #programming
Comments
4 min read
What a RAG Pipeline That Actually Works in Production Looks Like
bck_kamikaze_09fb811f585b profile

What a RAG Pipeline That Actually Works in Production Looks Like

#rag #pipeline #qdrant #llm
Comments
9 min read
How I gave my AI agent memory and a private knowledge base — in a single SQLite file
maximskorohod profile

How I gave my AI agent memory and a private knowledge base — in a single SQLite file

#ai #rag #python #opensource
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9 min read
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