build-on-aws/rag-golang-postgresql-langchain
Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs
This project helps Go developers enhance their applications that use Large Language Models (LLMs). It allows you to provide LLMs with external, up-to-date information by using a vector database like PostgreSQL. This means the LLM can generate responses based on the latest data, overcoming the knowledge cut-off of its original training. Go developers can use this to build more accurate and relevant LLM-powered features.
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Use this if you are a Go developer building an application that leverages LLMs and you need to ensure the LLM's responses are accurate, relevant, and based on knowledge beyond its initial training data.
Not ideal if you are not a Go developer or if your LLM application does not require access to external, up-to-date information for its responses.
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49
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12
Language
Go
License
MIT-0
Category
Last pushed
Apr 19, 2024
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