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Show HN: A local-first memory store for LLM agents (SQLite)

7 Years, 2 Rebuilds, 40K+ Stars: Milvus Recap and Roadmap

Indexing 100M vectors in 20 minutes on PostgreSQL with 12GB RAM

A vector graphics workstation from the 70s

Hachi: An Image Search Engine

So you wanna build a local RAG?

28M Hacker News comments as vector embedding search dataset

A DOOM vector engine for rendering in KiCad, and over an audio jack

I put a real search engine into a Lambda, so you only pay when you search

Article: NextGen Search - Where AI Meets OpenSearch Through MCP

In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP). By Srikanth Daggumalli, Arun Lakshmanan

Agentic Postgres: Postgres for Agentic Apps with Fast Forking and AI-Ready Features

Tiger Data, the company behind TimescaleDB, has launched Agentic Postgres, a Postgres-based database designed for both AI agents and developers. It extends Postgres with fast forking, an MCP server, native BM25 and vector search, and includes a CLI for terminal access. By Sergio De Simone

Vector db comparison

I built a search engine that uses vector embeddings

deepseek-ai/DeepSeek-V3.2 · Hugging Face

deepseek-ai/DeepSeek-V3.2 · Hugging Face

AI is great, but only when it knows where to look

Is AI search changing how people find websites?

Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL

I worked on RAG for a $25B+ company (What I learnt & Challenges)

Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL

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embeddinggemma-300m

Task: sentence-similarity