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lancedb

A collection of 3 posts

Chunk and index text

Chunk and index text

This is part of the Use RAG with Continue.dev series. Once we have the dependencies installed, we can start filling up the vector db. Set up First part, is to create the LanceDB database and embedding model: from lancedb.embeddings import get_registry from lancedb import connect OLLAMA_HOST

Prepare Ollama and LanceDB

Prepare Ollama and LanceDB

This is part of the Use RAG with Continue.dev series. Prerequisites I kept in line with the general prerequisites for the previous steps (python 3, uv for package management). In addition, I will assume you have ollama installed. Check here for different installation methods. Setup Ollama Once Ollama is

Use Rag with continue.dev

Use Rag with continue.dev

continue.dev is a plugin system that is available for VS Code and IntelliJ products. It allows using the code base to answer AI questions, as well as custom RAG extensions, where you can index e.g. your proprietary repositories. The purpose of this exercise is to create an ollama-based