eryajf/langchaingo-ollama-rag
学习基于langchaingo结合ollama实现的rag应用流程
This project helps developers understand how to build a Retrieval Augmented Generation (RAG) application using LangChainGo and Ollama. It provides a practical example of taking custom data, processing it, and then using a local large language model to answer questions based on that data. This is intended for developers who want to integrate local LLMs into their Go applications for knowledge retrieval.
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Use this if you are a Go developer looking for a reference implementation to build RAG applications with local LLMs via Ollama and LangChainGo.
Not ideal if you are a non-developer seeking an out-of-the-box RAG application or if you prefer a different programming language or LLM framework.
Stars
46
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9
Language
Go
License
Apache-2.0
Category
Last pushed
Apr 20, 2024
Commits (30d)
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