@bentossell https://t.co/Ga5EKCthtQ can scrape the docs and turn them into markdown. It has a LangChain integration that should make the second step easy to implement.
@mhmazur I sense that if a model performs at X for some set of problems, people will try to make it perform at the same level for other sets of problems by just improving the prompt.
I tried to cover the fundamentals of vector search and how to make search queries more efficient using @postgresql and @pgvector.
Is there anything else I should have added?
https://t.co/zWb5iKHTfK
1/ 🤖 You don’t need a specialized vector database. You just need PostgreSQL.
Introducing Timescale Vector: PostgreSQL++ for AI Applications
- 📈 3x ANN search performance vs Weaviate, 40%-1,500% boost for pgvector.
- ⚙️ No need to learn and manage a separate vector database.