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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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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
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 an Open Source AI Memory Layer. The Legacy File System Will Eventually Die.
sup3rus3r profile

I Built an Open Source AI Memory Layer. The Legacy File System Will Eventually Die.

#ai #python #agents #rag
Comments
3 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
RAG and Vector Databases:
sivakami_thangaraj profile

RAG and Vector Databases:

#ai #database #llm #rag
1
Comments
2 min read
I built a GraphRAG demo with FalkorDB’s new SDK, then benchmarked it against Neo4j
danshalev7 profile

I built a GraphRAG demo with FalkorDB’s new SDK, then benchmarked it against Neo4j

#rag #falkordb #ai #tutorial
4
Comments 2
16 min read
Index-RAG: Citation-first approach to RAG
praneeth-v profile

Index-RAG: Citation-first approach to RAG

#ai #rag #opensource #machinelearning
1
Comments
5 min read
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