antoinelrnld/discord-rag
Easily create a RAG based on your Discord messages
Implements a semantic chunking strategy to group contextually related messages into embeddings stored in ChromaDB, then retrieves relevant context via vector similarity to augment LLM prompts. Provides both a REST API and Discord bot interface, with Docker Compose orchestration across MongoDB (message storage), ChromaDB (vector store), and OpenAI's API for embeddings and generation.
Stars
18
Forks
5
Language
Python
License
MIT
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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