🔍 Vector Databases - mando · Scour

HarinezumIgel/RAG-LCC: A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready. 💬LLMs

github.com·2d·Hacker News

OpenData Vector: MIT-Licensed Vector Search on Object Storage 📊Columnar Storage

opendata.dev·3d·Hacker News, r/programming

How ML Systems Actually Work: From Data to Deployment 🤖Machine Learning

newsletter.systemdesign.one

·5d

https://www.together.ai/blog/embeddings-endpoint-release 📊Embeddings

together.ai·4d

Sassy 1 & 2: Fuzzy searching DNA using SIMD 🔍Vector Search

curiouscoding.nl·4d

Searching for Birds with Pinecone Full-Text Search 📚Information Retrieval

pinecone.io·6d

Rethinking the Good Enough Embedding for Easy Few-Shot Learning 📊Embeddings

Manufacturing intelligence with Amazon Nova Multimodal Embeddings 📊Embeddings

aws.amazon.com·6d

jina-embeddings-v5-omni: Embeddings for Text, Image, Audio and VideoOne model, four modalities: text, image, audio, video. Best-in-class omni embeddings in 1.6B... 📊Embeddings

OpenSearch vs LanceDB for Vector Search: Query Cost and Infrastructure 📊Columnar Storage

lancedb.com·6d

From Data Catalogs to GraphRAG-Ready Data Product Portfolios (7 minute read) 📉Grafana

blog.opendataproducts.org·6d

CocoIndex Review: Incremental RAG Engine for AI Agents 🤖AI

andrew.ooo·5d·r/selfhosted

A Picture is Worth a Thousand Words? An Empirical Study of Aggregation Strategies for Visual Financial Document Retrieval 🔍Vector Search

How to Build Your First Semantic Search System: My Step-by-Step Guide with Code 📊Embeddings

mlops.community·4d

https://www.together.ai/blog/rag-tutorial-mongodb 🕷️Web Scraping

together.ai·4d

Automate schema generation for intelligent document processing ⚙️Data Engineering

aws.amazon.com·5d

Vector embedding security gap exposes enterprise AI pipelines 📊Embeddings

helpnetsecurity.com·3d

From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG 📊Embeddings

Generative AI in the Real World: Chang She on Data Infrastructure for AI 📊Columnar Storage

oreilly.com·3d

RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression 📊Embeddings

Log in to enable infinite scrolling