gpt-open/rag-gpt
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
Supports multiple LLM backends (OpenAI, ZhipuAI, DeepSeek, Moonshot, local models) with pluggable embedding and reranking pipelines, deployable via Flask with SQLite persistence. Knowledge ingestion supports websites, isolated URLs, and local files with optional LlamaParse preprocessing, while the admin console provides real-time chatbot configuration, user query analytics, and embeddable widget generation without code changes.
484 stars. No commits in the last 6 months.
Stars
484
Forks
81
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 19, 2024
Commits (30d)
0
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