Hybrid search
Search documents
X @Avi Chawla
Avi Chawla· 2026-03-30 09:02
RAG is a distraction!Here's how Google and Microsoft actually give context to their production agents:To understand this, think about what "give an agent context" actually means in production.In production, data lives across Slack, Gmail, Jira, Drive, Salesforce, GitHub, and SQL databases. Each source has different auth, different data formats, different update cycles.A query like "summarize all activity on the auth migration this week" needs to pull from five sources simultaneously, filter by time, check p ...
X @Avi Chawla
Avi Chawla· 2026-02-10 01:13
RT Avi Chawla (@_avichawla)Vector search is not always the answer.A 30-year-old algorithm with zero training, zero embeddings, and zero fine-tuning still powers Elasticsearch, OpenSearch, and most production search systems today.It's called BM25, and it's worth understanding why it refuses to die.Let's say you're searching for "transformer attention mechanism" in a library of ML papers.BM25 scores documents using three core ideas:1) Word rarity matters more than word frequencyEvery paper contains "the" and ...
X @Avi Chawla
Avi Chawla· 2026-02-09 06:30
Vector search is not always the answer.A 30-year-old algorithm with zero training, zero embeddings, and zero fine-tuning still powers Elasticsearch, OpenSearch, and most production search systems today.It's called BM25, and it's worth understanding why it refuses to die.Let's say you're searching for "transformer attention mechanism" in a library of ML papers.BM25 scores documents using three core ideas:1) Word rarity matters more than word frequencyEvery paper contains "the" and "is" so those words carry n ...
X @Avi Chawla
Avi Chawla· 2025-11-19 06:30
Big moment for Postgres!AI agents broke the idea of what a database is supposed to do.Traditional databases were built for humans, and Agents broke that model.- They branch endlessly.- They run ten experiments at once.- They need isolation, context, memory, structured reasoning, and safe sandboxes.Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior.Agentic Postgres is an agent-ready version of Postgres by @TimescaleDB that solves ...