Building "RAG from Scratch". A local, educational repo to really understand Retrieval-Augmented Generation (feedback welcome)
🤖Transformers
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Pseudo-Knowledge Graphs for Better RAG
pub.towardsai.net·1d
⛓️LangChain
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PICOs-RAG: PICO-supported Query Rewriting for Retrieval-Augmented Generation in Evidence-Based Medicine
arxiv.org·2d
📝Natural Language Processing
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Scaling Embeddings with Feast and KubeRay
🚀MLOps
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AI Agents vs LLMs vs RAG
analyticsvidhya.com·13h
⛓️LangChain
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LAI #99: Rethinking RAG, Smarter Data Validation, and the GANs That Started It All
pub.towardsai.net·1d
🤖AI
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
🗄️Vector Databases
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Bringing Vision-Language Intelligence to RAG with ColPali
towardsdatascience.com·2d
📝Natural Language Processing
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The Boot.dev Beat. November 2025
blog.boot.dev·2d
🚀MLOps
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Unleashing Creativity: Exploring Top Generative AI Datasets for Multimodal Innovation
⚙️Model Fine-tuning
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Update; GUI in C
⛓️LangChain
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We’re back with episode 2 of 1 IDEA! Today, Vinay Perneti (VP of Eng @ Augment Code) shares his own Bottleneck Test
⛓️LangChain
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How I solved nutrition aligned to diet problem using vector database
🗄️Vector Databases
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From Lossy to Lossless Reasoning
⛓️LangChain
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