# Local RAG with Ollama, Mistral, and Turso

DevFeed: [Local RAG with Ollama, Mistral, and Turso](<https://devfeed.tech/articles/local-rag-with-ollama-mistral-and-turso-5999.md>)

Original publisher: [Read original article](<https://turso.tech/blog/local-rag-with-ollama-and-turso-sqlite>)

Author: Jamie Barton

Published: 2025-01-08T00:00:00Z

Content type: tutorial

Language: en

Sources: [Turso Blog](<https://devfeed.tech/sources/turso-blog.md>)

Topics: [Retrieval-Augmented Generation](<https://devfeed.tech/topics/retrieval-augmented-generation.md>), [Ollama](<https://devfeed.tech/topics/ollama.md>), [Turso](<https://devfeed.tech/topics/turso.md>), [SQLite](<https://devfeed.tech/topics/sqlite.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [libSQL](<https://devfeed.tech/topics/libsql.md>), [Local-First](<https://devfeed.tech/topics/local-first.md>), [Chat Bot](<https://devfeed.tech/topics/chatbot.md>), [pdf](<https://devfeed.tech/topics/pdf.md>)

Tags: [build](<https://devfeed.tech/tags/build.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [llm](<https://devfeed.tech/tags/llm.md>), [local](<https://devfeed.tech/tags/local.md>), [local-first](<https://devfeed.tech/tags/local-first.md>), [mistral](<https://devfeed.tech/tags/mistral.md>), [offline](<https://devfeed.tech/tags/offline.md>), [ollama](<https://devfeed.tech/tags/ollama.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [rag](<https://devfeed.tech/tags/rag.md>), [sql](<https://devfeed.tech/tags/sql.md>), [sqlite](<https://devfeed.tech/tags/sqlite.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [turso](<https://devfeed.tech/tags/turso.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A tutorial for building a fully local and offline Retrieval-Augmented Generation pipeline using Ollama, Mistral, and Turso. It stores documents and vector embeddings in a SQLite file, generates embeddings locally, and retrieves relevant content without cloud calls or network access.

## Source excerpt

Build a fully local RAG pipeline with Ollama, Mistral, and Turso. Store data and vector embeddings in one SQLite file, with no cloud calls and no network.