⤷ Title: Avoiding Dirty RAGs: Retrieval-Augmented Generation with Ollama and LangChain
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𐀪 Author: BHIS
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ⴵ Time: Thu, 20 Feb 2025 15:33:39 +0000
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⌗ Tags: #Brian Fehrman #How_To #Informational #AI #Artificial Intelligence #LangChain #LangSmith #Large Language Models #LLM #Machine Learning #Ollama #RAG #Retrieval_Augmented Generation
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𐀪 Author: BHIS
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ⴵ Time: Thu, 20 Feb 2025 15:33:39 +0000
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⌗ Tags: #Brian Fehrman #How_To #Informational #AI #Artificial Intelligence #LangChain #LangSmith #Large Language Models #LLM #Machine Learning #Ollama #RAG #Retrieval_Augmented Generation
Black Hills Information Security, Inc.
Avoiding Dirty RAGs: Retrieval-Augmented Generation with Ollama and LangChain - Black Hills Information Security, Inc.
RAG connects pre-trained LLMs with current data sources. Moreover, a RAG system can use many data sources.
⤷ Title: AgentSmith Flaw in LangSmith’s Prompt Hub Exposed User API Keys, Data
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𐀪 Author: Deeba Ahmed
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ⴵ Time: Wed, 18 Jun 2025 16:19:19 +0000
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⌗ Tags: #Security #Artificial Intelligence #AgentSmith #AI #Cybersecurity #LangSmith #OpenAI #Prompt Hub #Vulnerability
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𐀪 Author: Deeba Ahmed
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ⴵ Time: Wed, 18 Jun 2025 16:19:19 +0000
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⌗ Tags: #Security #Artificial Intelligence #AgentSmith #AI #Cybersecurity #LangSmith #OpenAI #Prompt Hub #Vulnerability
Hackread
AgentSmith Flaw in LangSmith’s Prompt Hub Exposed User API Keys, Data
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