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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·5h·
Discuss: DEV
🌀Brotli Internals
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·12h·
Discuss: r/compsci
📥Feed Aggregation
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Inferal Workspace Architecture: How We Work at Inferal
gist.github.com·2d·
Discuss: Hacker News
📦Git LFS
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AI Infrastructure Basics: How MCP Works
newsletter.systemdesign.one
·1d·
Discuss: r/programming
🌊Stream Processing
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Rethinking data in NL2SQL: a survey of what we have and what we expect | Vicinagearth
link.springer.com·4d
📋Document Grammar
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MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
arxiv.org·2d
🔍Information Retrieval
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Redis Threading Model: Debunking the Single-Threaded Myth
redis.io·2d·
Discuss: DEV
⚡Redis Internals
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Climate Monitoring Search Engine: Multi-Vectors in Qdrant
pub.towardsai.net
·4d
🗂️Vector Search
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Self-Supervised Temporal Pattern Mining for heritage language revitalization programs with ethical auditability baked in
dev.to·4d·
Discuss: DEV
🤖Grammar Induction
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Ask HN: What is the most modular sync engine?
news.ycombinator.com·3d·
Discuss: Hacker News
🔄Sync Engine
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Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG)
vmat.fillout.com·3d·
Discuss: DEV
✅Format Verification
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Document search using Claude and an inverted index.
annanay.dev·4d·
Discuss: Hacker News
🗂️Vector Databases
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Introducing dineug/erd-editor: A Modern Open-Source ERD Tool
dev.to·1d·
Discuss: DEV
🏺Format Archaeology
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From PostgreSQL to VeloDB: Building Real-Time On-Chain Analytics for Web3 and Crypto
velodb.io·3d·
Discuss: Hacker News
🌊Streaming Databases
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Retrieval-Augmented Generation for Large Language Models: A Survey
paperium.net·5d·
Discuss: DEV
🌀Brotli Internals
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aashirpersonal/semantic-coverage: Automated detection of knowledge gaps and blind spots in RAG vector stores.
github.com·3d·
Discuss: Hacker News
🌀Brotli Internals
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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How We Reduced a 1.5GB Database by 99%
cardogio.substack.com·3d·
Discuss: Substack, r/programming
🦀Rusty Databases
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·2d
📋Document Grammar
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Better Relevance for AI Apps With BM25 Algorithm in PostgreSQL
thenewstack.io·5d
📇Indexing Strategies
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