🗂️ Vector Databases - matmat

aayush4vedi/drift-spark: Spark-native embedding lifecycle- produce, CDC refresh, model-migrate, audit.

🧮Vector Embeddings Code

github.com··Hacker News

When More Cores Hurts: The Vector Database Scaling Paradox in HPC

🧮Vector Embeddings Academic

arxiv.org·

Understanding HNSW: The Engine Behind Fast Vector Search

🧮Vector Embeddings

chimchim89.github.io·

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

🧮Vector Embeddings Blog

elastic.co·

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

🔍Semantic Search Blog

pinecone.io·

MongoDB as a Vector Database for AI Agents-MongoDB

🧮Vector Embeddings

foojay.io·

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

🧱Immutable Infrastructure Discussion

news.ycombinator.com··Hacker News

How to Set Up Codebase Indexing in Kilo Code

🧮Vector Embeddings News Blog

blog.kilo.ai·

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

🧮Vector Embeddings

drive.google.com··Hacker News

Embedding pipelines are the new ETL

🚚Data Migration Blog

infoworld.com·

Best practices for building a modern app with vector search

🔍Search Indexing Blog

elastic.co·

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

🧮Vector Embeddings Code

github.com··Hacker News

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors

🧮Vector Embeddings Academic

arxiv.org·

Most AI code reviewers are just expensive diff readers.

🌿git Code

github.com··r/SideProject

Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval

📊Feed Optimization Academic

arxiv.org·

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

🧮Vector Embeddings Code

github.com··DEV

Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines

🧮Vector Embeddings Academic

arxiv.org·

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval

📐Vector Similarity Academic

arxiv.org·

Quiz: Embeddings and Vector Databases With ChromaDB

Pinecone vs Qdrant vs Weaviate

aayush4vedi/drift-spark: Spark-native embedding lifecycle- produce, CDC refresh, model-migrate, audit.

When More Cores Hurts: The Vector Database Scaling Paradox in HPC

Understanding HNSW: The Engine Behind Fast Vector Search

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

MongoDB as a Vector Database for AI Agents-MongoDB

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

How to Set Up Codebase Indexing in Kilo Code

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

Embedding pipelines are the new ETL

Best practices for building a modern app with vector search

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors

Most AI code reviewers are just expensive diff readers.

Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval