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Beyond Similarity Search: A Unified Data Layer for Production RAG Systems 🧮Vector Databases

From 48 Seconds to 130 Milliseconds: Vector Search in Tinybird 🚀Milvus

tinybird.co·18h

Qdrant 1.18 - TurboQuant ⚡QUIC Protocol

qdrant.tech·1d

yantrikos/yantrikdb: Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL. 🎴TAO

github.com·3h·Hacker News

OpenSearch vs LanceDB for Vector Search: Query Cost and Infrastructure 🎯Lance

lancedb.com·1d

Automate schema generation for intelligent document processing 🥑Avro

aws.amazon.com·2h

How computationally expensive is filtering and ignoring? ⏭️Skip Lists

Your RAG can't answer 'why' -- GraphRAG finds what vector search misses 🕸️Weaviate

amazon.co.jp·2d·DEV

Learn how to add interactive sorting and filtering to your PyQt/PySide table views ... 🔍Miniselect

pythonguis.com·6d

https://research.perplexity.ai/articles/cutedsl-at-perplexity 🌀Naiad

research.perplexity.ai·6d

Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks 🧠Machine Learning

dbyter/sphere-embed: Visualize embeddings and LLM relationships on a sphere's surface 🎨Chroma

github.com·2d·Hacker News

Step Rejection Fine-Tuning: A Practical Distillation Recipe 💬Prompt Engineering

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions 🕸️Knowledge Graphs

I Burned 3 Weeks Tuning Vector Search Before Realizing the Problem Was the Index, Not the Algorithm 📊Vectorized Query Execution

github.com·4d·DEV

FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances 🎯Vector Search

Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation 🎨Chroma

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image 🧮Vector Databases

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings 🤖TVM

SEMASIA: A Large-Scale Dataset of Semantically Structured Latent Representations 🧮Embeddings

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