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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-like Bot Over Markdown Docs — Scraping, PostgreSQL, and BM25 Search enriched prompt
vvasylkovskyi profile

Building a RAG-like Bot Over Markdown Docs — Scraping, PostgreSQL, and BM25 Search enriched prompt

#rag #ai #software
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5 min read
Agent Orchestration & Workflow Automation: Dynamic Workflows, Robust Agent Patterns, and On-Commit AI Code Review
soytuber profile
soy

Agent Orchestration & Workflow Automation: Dynamic Workflows, Robust Agent Patterns, and On-Commit AI Code Review

#ai #rag #automation
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4 min read
What I Learned Building a Local RAG Agent
vishdevwork profile

What I Learned Building a Local RAG Agent

#rag #ai #agents #llm
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5 min read
I Built a RAG App, Then Asked It What Car I Like. It Didn't Know.
mido-dev profile

I Built a RAG App, Then Asked It What Car I Like. It Didn't Know.

#ai #rag #spring #learning
2
Comments 3
6 min read
Why Chunking Matters in RAG: The Hidden Key to Better Retrieval
bytebyvipul profile
Vipul

Why Chunking Matters in RAG: The Hidden Key to Better Retrieval

#ai #llm #performance #rag
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2 min read
Free contextual chunk headers: heading-aware chunking for hybrid retrieval
kartikeyraj profile

Free contextual chunk headers: heading-aware chunking for hybrid retrieval

#python #llm #rag #postgres
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4 min read
RAG Retrieval Gotchas at Scale: Navigating the Challenges
the-hive-collective profile

RAG Retrieval Gotchas at Scale: Navigating the Challenges

#rag #retrieval #scalability #machinelearning
1
Comments
4 min read
I'm building CortexDB — an agent-native context database for AI agents
aubakirovarman profile
Arman

I'm building CortexDB — an agent-native context database for AI agents

#rust #database #ai #rag
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1 min read
How Forcing 1024-Dim Embeddings Cut Our Pinecone Bill by ~33%
atultrp profile

How Forcing 1024-Dim Embeddings Cut Our Pinecone Bill by ~33%

#ai #rag #claude #software
5
Comments 3
3 min read
Your AI Forgets Everything. Here's How Cognee Fixes It.
divyesh5981 profile

Your AI Forgets Everything. Here's How Cognee Fixes It.

#cognee #ai #opensource #rag
28
Comments 6
3 min read
Building Nexus: An Enterprise-Grade RAG & LLMOps Engine from Scratch
anilnayak_dev profile

Building Nexus: An Enterprise-Grade RAG & LLMOps Engine from Scratch

#ai #webdev #mlops #rag
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4 min read
I Designed a RAG Variant for Multi-Agent Simulations. Here's the Design and the Honest Tradeoffs.
zaidwhys profile

I Designed a RAG Variant for Multi-Agent Simulations. Here's the Design and the Honest Tradeoffs.

#ai #machinelearning #python #rag
2
Comments 2
9 min read
I built a 100% local Graph RAG engine for my Markdown notes
benito_mallamaci_c902e934 profile

I built a 100% local Graph RAG engine for my Markdown notes

#privacy #obsidian #rag #python
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3 min read
Building Corroborate.ai: An Auditable Way to Decide What an AI Actually "Knows"
alfinohatta profile

Building Corroborate.ai: An Auditable Way to Decide What an AI Actually "Knows"

#ai #kotlin #nlp #rag
1
Comments 2
9 min read
38/60 Days System Design Questions
thejoud1997 profile

38/60 Days System Design Questions

#abotwrotethis #systemdesign #ai #rag
3
Comments 7
1 min read
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