May 8 · 1 min read · Building an AI Agent with Persistent Memory Most AI assistants start fresh every conversation. Hermes Agent doesn't. The Memory Stack Hermes uses a three-layer memory system: 1. SQLite FTS5 (Full-Text Search) — Fast keyword search across all past con...
Join discussionMay 6 · 8 min read · In Postgres: -- CREATE EXTENSION IF NOT EXISTS vector; 2) Database schema (pgvector + metadata) ```sql -- Documents table CREATE TABLE IF NOT EXISTS documents ( doc_id TEXT PRIMARY KEY, source TEXT, title TEXT, created_at TIMESTAMPTZ DEFAULT...
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Apr 27 · 3 min read · Alright, let's talk AlloyDB for a minute. If you're using it, or thinking about it, there's some genuinely exciting stuff dropping. Google just rolled out a bunch of new AI functions and made some big improvements to vector search. And honestly, it m...
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Apr 20 · 3 min read · You know how everyone's talking about bringing AI closer to your data? Well, Google Cloud's AlloyDB for PostgreSQL is really leaning into that. They just rolled out some pretty cool updates that let you do more AI-powered stuff directly inside your d...
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Apr 18 · 6 min read · The vector search returned seven chunks about "database indexing strategies" for a query about "machine learning model training." All seven had cosine similarity scores above 0.72. All seven were confidently, precisely wrong. This is the failure mode...
Join discussionApr 9 · 7 min read · GraphRAG Beats Vector Search by 86% — But 92% of Teams Are Building It Wrong Microsoft's GraphRAG paper showed that graph-structured retrieval with community summarization significantly outperforms flat vector search on multi-hop and thematic queries...
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Apr 7 · 9 min read · An in-memory vector database for Node.js is a specialized system that stores vector embeddings in RAM for ultra-fast similarity searches, enabling real-time data retrieval crucial for AI agents. This architecture dramatically speeds up recall for Nod...
Join discussionApr 7 · 14 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What are semantic recommendations?", "acceptedAnswer": { "@type": "Answer", "text": "Semantic recommen...
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Apr 4 · 19 min read · Three months into a contract with a mid-sized insurance company, I was sitting across from their CTO watching their "AI knowledge base" answer questions about their own products. The system retrieved the right documents 90% of the time. But on anythi...
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Mar 9 · 8 min read · The $340 invoice showed up on a Tuesday in late January. Not wild money in isolation, but this was for an internal RAG tool serving exactly 11 people — my team at a fintech startup — and when I did the math, that was $30 per user per month for what a...
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