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Local AI Bot Gains Knowledge Base via RAG and ChromaDB

By PulseAugur Editorial · [1 sources] ·

The author details the fourth part of their local AI series, focusing on integrating a knowledge base into their Ollama Discord bot using Retrieval-Augmented Generation (RAG). The setup utilizes ChromaDB for vector storage and nomic-embed-text for embeddings, all running locally without cloud dependency. A key demonstration showed the bot identifying itself and referencing a character named Renn, which it correctly inferred from the RAG-populated knowledge base. AI

IMPACT Demonstrates a practical application of RAG for enhancing chatbot capabilities with local knowledge bases.

RANK_REASON The item describes a technical implementation of RAG for a specific application, not a new model release or significant industry event.

Read on Mastodon — fosstodon.org →

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

Local AI Bot Gains Knowledge Base via RAG and ChromaDB

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The item describes a technical implementation of RAG for a specific application, not a new model release or significant industry event.
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product, infra
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High
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102 days old
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Part 4 of my local AI series is out — I gave my Ollama Discord bot a knowledge base using RAG. Stack: ChromaDB + nomic-embed-text (768-dim embeddings) + discord

    Part 4 of my local AI series is out — I gave my Ollama Discord bot a knowledge base using RAG. Stack: ChromaDB + nomic-embed-text (768-dim embeddings) + discord.py. Everything runs locally, no cloud involved. The highlight: I asked the bot who he is. He mentioned a character call…

    LINKS github.com/…/JakeRAG

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