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Build a local RAG API with FastAPI, ChromaDB, and LFM3 on Ollama

By PulseAugur Editorial · [1 sources] ·

This article details how to build a fully local Retrieval-Augmented Generation (RAG) API using FastAPI, ChromaDB, and the LFM3 model from Liquid AI, all running through Ollama. The author emphasizes a simplified approach compared to previous tutorials, aiming for a concise, 100-line API that requires no API keys and can operate on a laptop. The LFM3 model, specifically the 1.7B parameter version, is highlighted for its small size (around 1 GB) and its suitability for RAG due to its recommendation to use retrieval for knowledge-intensive tasks. AI

IMPACT Enables developers to build private RAG applications on local hardware, reducing reliance on cloud services and API keys.

RANK_REASON Article describes building a local API using existing tools and a specific model.

Read on Towards AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Build a local RAG API with FastAPI, ChromaDB, and LFM3 on Ollama

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20 / 100
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Tool
Article describes building a local API using existing tools and a specific model.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Prajwal Waykos ·

    Build a Fully Local RAG API with FastAPI, ChromaDB and LFM3 on Ollama

    <h4>A beginner friendly, 100 line RAG API that runs on a laptop with zero API keys, using Liquid AI’s new 1.7B model</h4><p>Follow me on 🔗<a href="https://www.linkedin.com/in/prajwal-waykos/">Linkedin</a>, 🐙<a href="https://github.com/praj-17">GitHub</a></p><h3>⚡ TL;DR</h3><p>You…

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