RAG on CPUs (with Intel Developer Cloud) Retrieval Augmented Generation is a great way to combine YOUR data with LLMs… which is why it's so nice to be able to do this with local models This great goes over how to do that (with CPUs no less!) Blog: https://
towardsdatascience.com/retrieval-augm
ented-generation-rag-inference-engines-with-langchain-on-cpus-d5d55f398502
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@langchain
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RAG Inference with Local Models on CPUs
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Hands-on RAG Meetup: Combining Your Data with LLMs
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Hands-on RAG meetup Want to learn how to combine YOUR data with LLMs? Retrieval Augmented Generation (RAG) is the dominant way to do do The Austin community group will be doing a hands-on RAG meetup – check it out
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LangChain Transforms Data Analysis with AI Agents
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(Community Spotlight) How LangChain Transforms Data Analysis and More Want to learn how to build an agent for data analysis? This blog walks through that and more, covering a few different use cases for LangChain h/t Ankush Singal Blog: https://
ai.gopubby.com/unlocking-the-
power-of-language-how-langchain-transforms-data-analysis-and-more-3c4f327d520d
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Per-User RAG Retrieval Guide with LangChain Pinecone
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Per-User Retrieval Guide Most production RAG apps need some sort of per-user (or per-org) retrieval We've recently added a guide showing how to do this with @pinecone
! s/o @cyrusofeden for the nudge Guide: https://
python.langchain.com/docs/use_cases
/question_answering/per_user
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RAG Pipeline Setup Tutorial for PDF Processing
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RAG With PDFs Want to easily set up a RAG pipeline over PDFs? This great tutorial by our friends at @clarifai goes over how to do exactly that Blog: https://
clarifai.com/blog/ai-in-5-r
ag-with-pdfs
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Connecting LLMs to Your Data: Options Overview
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If you’re looking to connect LLMs to your data… @pjausovec will be going through some of the options we have tmrw!
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RAG Chatbot Tutorial: LLaMA-2, Qdrant, LangChain, Streamlit
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RAG Tutorial from Oracle Generative AI Chatbot using LLaMA-2, @qdrant_engine
, RAG, LangChain & @streamlit Really detailed blog post walking through ingestion, setting up a chain, and making it look great in the UI Blog: https://
blogs.oracle.com/ai-and-datasci
ence/post/ai-chatbot-llama2-qdrant-rag-langchain-streamlit
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Gemini API Integration with LangChain for LLM Development
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Gemini API with LangChain @arslanchaos put together an AWESOME notebook showing how to use the Google Gemini API with LangChain. Covers: Text Generation
Image Understanding
Safety Features
Streaming and batch support Check it out here: https://
github.com/ArslanKAS/Lang
Chain-for-LLM-App-Development/blob/master/GeminiPro_with_LangChain.ipynb
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Building ChatGPT with Custom Data Using LangChain and Supabase
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Creating ChatGPT with Your Own Data with Supabase in JavaScript This fantastic article from the community walks through how to create a ChatGPT experience over your data using LangChain and @supabase All in JavaScript! Check it out here: https://
dev.to/surajondev/usi
ng-chatgpt-with-your-own-data-using-langchain-and-supabase-4k6c
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Automatic LLM Routing with notdiamond-0001 Model
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Automatic LLM Routing with `notdiamond-0001` notdiamond-0001 automatically determines whether to send queries to GPT-3.5 or GPT-4, depending on which model is best-suited for your task Built by @tomas_hk
, they trained notdiamond-0001 on hundreds of thousands of data points