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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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Dec 13

What is Chunk Size and Chunk Overlap

#programming #ai #langchain #rag

3 min read

pravintargaryen

Dec 12

DeepMind at Google: Denny Zhou

#llm #rag #ai #python

2 min read

Kamalabot

Dec 12

Introducing Composio Tools| Agentic LLMs API Gateway

#programming #ai #rag #productivity

3 min read

Durgesh

Dec 11

Why Run LLM's /SLM's locally

#ai #machinelearning #llm #rag

1 min read

Dec 11

Why Chunk Text Before Embedding

#ai #langchain #rag #programming

2 min read

Dec 12

Extended RaBitQ: an Optimized Scalar Quantization Method

#rabitq #vectordatabase #quantization #rag

7 min read

shubhanshu for Exemplar Dev

Dec 10

AI Engineer's Tool Review: Guardrails AI

#ai #llm #rag #security

1 min read

Dec 9

Learn AI and win $1000 for doing so: DataStax 12 days of Codemas

#ai #rag #vectordatabase #langchain

4 min read