TEN Agent is an open-source multimodal AI agent that can speak, see, and access a knowledge base(RAG). - [Doc] How to use RAG · Issue #120 · TEN-framework/TEN-Agent
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GAPCinq a SeptVeronica BeardMangoRag and BoneWhile this isn’t a blazer, some of you have asked for a link to the “trucker” jacket I featured in my video on TikTok and Instagram. This is a current version of my old one. Share this: Share Like this: Loading... Trend: Cargo ...
I've created a function that starts a chain. I've been using this without memory added to it for some time, and its been working great. However, now I'm trying to add memory to it, using REDIS memory (following the examples on the langchaindocs). However, the example there only us...
You look like you could use someone to talk to.And we're slow right now.“slow”在这里是形容餐厅客流少 42:19 As much as it would cheer me upto commit a felony, I think you should go.这里表达了一个意思转折。As much as ……, I think…… 43:53 My name's right there in the cre...
Many enterprises have already started to explore how RAG can help them automate business processes and mine data for insight. Although most enterprises have initiated multiple pilots aligned to generative AI use cases,it’s estimated that 90% of them won’t move beyond the evaluation phase in t...
When to Use RAG Use RAG when it’s important for generative AI responses to provide up-to-date or organization-specific data that wasn’t part of the LLM’s training. For example, if a company has a large corpus of reliable information about its products or daily operations,...
Using both processes, RAG is able to provide a better and more detailed prompt to the LLM. This way, the LLM has a reference point they can use and provide responses based on that. Also, since RAG is already providing so much relevant information and such, the LLM has a lower margin ...
Russia’s multi-tentacled Wagner Group is not just sending mercenaries to Ukrainian. It’s also fighting the West with making slick propaganda films.
RAG-enabled LLM Application Architecture The second step in our process is to build the RAG pipeline. Given the simplicity of our application, we primarily need two methods:ingestandask. Theingestmethod accepts a file path and loads it into vector storage in two steps: first, ...