Explore the challenges of building a chat assistant and discover how Canopy and Anyscale endpoints offer the fastest and easiest way to create RAG-based applications for free in this 45-minute webinar. Dive into the architecture, examine a real-life example, and follow a guide on getting started with building your own chat assistant. Learn about Canopy, a flexible framework built on top of the Pinecone vector database, which provides libraries and a simple API for chunking, embedding, chat history management, query optimization, and context retrieval. Gain insights into Anyscale Endpoints, a fast and performant LLM API for building AI-based applications, offering a serverless service for serving and fine-tuning open LLMs like Llama-2 and Mistral. Discover how Anyscale Endpoints now provides an embedding endpoint and allows fine-tuning of the largest Llama-2 70B model, giving you flexibility for open LLMs through an API.
Building a Chat Assistant with Canopy and Anyscale Endpoints
Overview
Syllabus
Build a chat assistant fast using Canopy from Pinecone and Anyscale Endpoints
Taught by
Anyscale
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