/plushcap/analysis/timescale/timescale-retrieval-augmented-generation-with-claude-sonnet-3-5-and-pgvector

Retrieval-Augmented Generation With Claude Sonnet 3.5 and Pgvector

What's this blog post about?

The AI chatbot race initiated by OpenAI with the release of ChatGPT is seeing new competitors like Gemini, Cohere, and many others. Anthropic, a prominent AI research company dedicated to developing safe and ethical AI systems, is making waves in the field with its Claude family of large language models (LLMs). The new Claude launch is a notable upgrade from its predecessor and claims it can surpass OpenAI's GPT-4o model on key benchmarks like GPQA (Graduate-Level Google-Proof Q&A), multilingual math (MGSM), and more. In this article, we discussed Claude Sonnet 3.5, its strengths and usefulness, and compared it to other models in the Claude family. We also used Sonnet 3.5 and pgvector to build a retrieval-augmented generation (RAG) application.

Company
Timescale

Date published
Sept. 24, 2024

Author(s)
Haziqa Sajid

Word count
2420

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.