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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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RAG isn't memory. It's Ctrl+F with embeddings.
vbcherepanov profile

RAG isn't memory. It's Ctrl+F with embeddings.

#ai #llm #rag #softwareengineering
Comments
9 min read
Your Agent Memory Is Trapped. Here's the Key.
vektor_memory_43f51a32376 profile

Your Agent Memory Is Trapped. Here's the Key.

#ai #vectordatabase #rag #programming
1
Comments
6 min read
I built a RAG platform because I was tired of spending 15 minutes searching for team docs
joungminsung profile

I built a RAG platform because I was tired of spending 15 minutes searching for team docs

#showdev #ai #productivity #rag
Comments
3 min read
Preparing RAG pipeline for production
levchenkod profile

Preparing RAG pipeline for production

#ai #webdev #cicd #rag
3
Comments 2
4 min read
RAG Series (2): Building Your First RAG Pipeline with LangChain
wonderlab profile

RAG Series (2): Building Your First RAG Pipeline with LangChain

#llm #rag #langchain #opensource
Comments
10 min read
From Flat Files to a Living Memory: Building Graph-Based Semantic Memory for PocketPaw
amritesh240304 profile

From Flat Files to a Living Memory: Building Graph-Based Semantic Memory for PocketPaw

#pocketpaw #rag #networkx #vectordatabase
1
Comments
6 min read
Long Context vs RAG: When to Load the Whole Book
jeffreese profile

Long Context vs RAG: When to Load the Whole Book

#ai #rag #machinelearning #beginners
Comments 1
6 min read
A Three-Layer Memory Architecture for LLMs (Redis + Postgres + Vector) MCP
yurgenschmidt profile

A Three-Layer Memory Architecture for LLMs (Redis + Postgres + Vector) MCP

#mcp #ai #llm #rag
Comments
2 min read
Sentence Window Retrieval
rushanksavant profile

Sentence Window Retrieval

#ai #rag #langchain #python
1
Comments
4 min read
How I used DDD and hexagonal architecture to build klay+ — a flexible, provider-agnostic RAG infrastructure you can plug into any project.
carlosmgs111 profile

How I used DDD and hexagonal architecture to build klay+ — a flexible, provider-agnostic RAG infrastructure you can plug into any project.

#rag #typescript #architecture #ddd
Comments
5 min read
I Built a Knowledge Graph Into the Retrieval Pipeline and Then Dropped It in Production
kingsleyonoh profile

I Built a Knowledge Graph Into the Retrieval Pipeline and Then Dropped It in Production

#rag #hybridretrieval #knowledgegraph #neo4j
1
Comments 1
5 min read
Adding a Trust Boundary to a LlamaIndex RAG Pipeline
anviren profile

Adding a Trust Boundary to a LlamaIndex RAG Pipeline

#llamaindex #agents #security #rag
8
Comments 3
9 min read
Hybrid search inside SurrealDB: one query, vector + keyword + RRF
atwmarshall profile

Hybrid search inside SurrealDB: one query, vector + keyword + RRF

#ai #machinelearning #rag #langchain
12
Comments
9 min read
The Prompt Tax Most LLM Teams Are Silently Paying
parag_d profile

The Prompt Tax Most LLM Teams Are Silently Paying

#ai #llm #rag #machinelearning
2
Comments
4 min read
When Your Embeddings Stop Distinguishing Anything
gabrielanhaia profile

When Your Embeddings Stop Distinguishing Anything

#rag #ai #observability #python
Comments
6 min read
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