RAG playground: Build your own RAG bot

We recently conducted a workshop at Data Talks Club - LLM Zoomcamp on creating Retrieval-Augmented Generation (RAG) systems, which involves loading data and embeddings from a Notion page into LanceDB and developing a RAG bot using Ollama. The workshop covered the fundamentals of creating a RAG system, including loading data into LanceDB, embedding data in LanceDB, and creating a pipeline to load data from Notion into LanceDB. We also explored how to create a simple RAG bot with Ollama to provide context-aware answers to user queries. The workshop resources included dlt, LanceDB, Ollama, and Data Talks Club, and participants can access the detailed workshop video or Google Colab notebook for hands-on experience.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.