Retrieval Augmented Generation, Vector Search, Knowledge Integration, Embeddings

Building a Self-Improving RAG System with Smart Query Routing and Answer Validation
dev.to·15h·
Discuss: DEV
🚀MLOps
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Pseudo-Knowledge Graphs for Better RAG
pub.towardsai.net·1d
⛓️LangChain
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GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
paperium.net·11h·
Discuss: DEV
🤖Transformers
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Scaling Embeddings with Feast and KubeRay
feast.dev·1d·
Discuss: Hacker News
🚀MLOps
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An underqualified reading list about the transformer architecture
fvictorio.github.io·1d·
Discuss: Hacker News
🤖Transformers
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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
aws.amazon.com·3d·
Discuss: Hacker News
🗄️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
labellerr.com·1d·
Discuss: DEV
⚙️Model Fine-tuning
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Update; GUI in C
github.com·13h·
⛓️LangChain
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Beyond the Training Data: Why RAG is the AI Superpower You Need
dev.to·1d·
Discuss: DEV
⛓️LangChain
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·21h·
Discuss: DEV
⚙️Model Fine-tuning
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Building an Intelligent RAG System with Query Routing, Validation and Self-Correction
dev.to·15h·
Discuss: DEV
🚀MLOps
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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
linkedin.com·3h·
Discuss: r/programming
⛓️LangChain
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How I solved nutrition aligned to diet problem using vector database
medium.com·1d·
🗄️Vector Databases
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From Lossy to Lossless Reasoning
manidoraisamy.com·9h·
Discuss: Hacker News
⛓️LangChain
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