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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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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
RAG and Vector Databases:
sivakami_thangaraj profile

RAG and Vector Databases:

#ai #database #llm #rag
1
Comments
2 min read
When the Reranker Hurts: Recall@5 Cases Where Two-Stage Retrieval Loses to One
gabrielanhaia profile

When the Reranker Hurts: Recall@5 Cases Where Two-Stage Retrieval Loses to One

#ai #rag #llm #benchmark
Comments
7 min read
Cosine Similarity Lies. Here's What to Use When Your Embeddings All Cluster at 0.85
gabrielanhaia profile

Cosine Similarity Lies. Here's What to Use When Your Embeddings All Cluster at 0.85

#ai #rag #embeddings #llm
Comments
7 min read
RAG Without Embeddings: When BM25 Beats Your $0.20-per-1K Vector Index
gabrielanhaia profile

RAG Without Embeddings: When BM25 Beats Your $0.20-per-1K Vector Index

#rag #postgres #ai #search
Comments
7 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
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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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