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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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Cheap RAG in Go with Gemini File Search: no vector DB, two calls, one hosted store
lovestaco profile

Cheap RAG in Go with Gemini File Search: no vector DB, two calls, one hosted store

#go #ai #rag #gemini
34
Comments 4
14 min read
ChaosCypher v0.4.3: When a Clean Restart Lost More Work Than a Crash
dmacpherson profile

ChaosCypher v0.4.3: When a Clean Restart Lost More Work Than a Crash

#selfhosted #opensource #python #rag
Comments
5 min read
Your RAG Finds the Documents. But Which Ones Should Reach the LLM?
rijultp profile

Your RAG Finds the Documents. But Which Ones Should Reach the LLM?

#ai #learning #rag
10
Comments
3 min read
Your AI cited a real file. It still lied to you.
enhanciar_ai_96a4ba4877e3 profile

Your AI cited a real file. It still lied to you.

#ai #rag #llm #programming
Comments
6 min read
Retrieval overlap went up 13 points by promoting sentences to paragraphs
watthem_31 profile

Retrieval overlap went up 13 points by promoting sentences to paragraphs

#rag #llm #typescript #machinelearning
1
Comments 2
4 min read
Build a Multi-Agent RAG Legal Assistant with LangGraph, FastAPI, and Streamlit (Beginner Guide)
malaikajunaid profile

Build a Multi-Agent RAG Legal Assistant with LangGraph, FastAPI, and Streamlit (Beginner Guide)

#ai #python #rag #langchain
Comments
8 min read
Jev in Depth: Can It Reshape Agent Search?
chen_zhang_bac430bc7f6b95 profile

Jev in Depth: Can It Reshape Agent Search?

#machinelearning #ai #rag #search
Comments
7 min read
RAG ranking is not the same as judging with Jev
kike profile

RAG ranking is not the same as judging with Jev

#rag #testing #llm #ai
1
Comments 3
9 min read
Building a Simple RAG System with Python, ChromaDB and Gemini
sanjay_kj_00362a63febb086 profile

Building a Simple RAG System with Python, ChromaDB and Gemini

#ai #python #machinelearning #rag
Comments
2 min read
"I Was Too Embarrassed to Ask What RAG Means, So I Wrote This Instead"
thesnehamk profile

"I Was Too Embarrassed to Ask What RAG Means, So I Wrote This Instead"

#ai #beginners #llm #rag
Comments
5 min read
My AI agent failed obvious tasks, and 49% fewer retrieval misses changed how I debugged it
lars_winstand profile

My AI agent failed obvious tasks, and 49% fewer retrieval misses changed how I debugged it

#ai #llm #agents #rag
Comments
6 min read
Bringing scattered sources into a single search — the unified knowledge workspace UseSources
uehara profile

Bringing scattered sources into a single search — the unified knowledge workspace UseSources

#rag #ai #postgres #productivity
Comments
12 min read
Retrieval Latency Budgets in RAG Pipelines: Vector Search, Reranking, and the Timeout Cascade Problem
neeraj_singhi_golang profile

Retrieval Latency Budgets in RAG Pipelines: Vector Search, Reranking, and the Timeout Cascade Problem

#architecture #performance #rag #systemdesign
Comments
6 min read
Inyecté memoria 1.112 veces y no sé si sirvió para algo
gleyendeker profile

Inyecté memoria 1.112 veces y no sé si sirvió para algo

#memoriadeagentes #rag #embeddings #medicion
Comments
4 min read
Base, Chat and Reasoning Models: How Are They Different?
yousrasd profile

Base, Chat and Reasoning Models: How Are They Different?

#ai #llm #rag #aieng
Comments 1
3 min read
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