Building RAG Pipelines that Use Multiple LLMs: Query Transformation Many advanced RAG pipelines make multiple calls to LLMs at various stages. Most existing templates currently use the same LLM for all stages, but there's no reason that has to be the case. Over the coming
@langchain
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LangSmith Tutorials: Tracing, Evaluation, and Data Annotation
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LangSmith Tutorials We've added a lot of functionality to LangSmith! If you want to get caught up on it, we've added a 7 part YouTube series covering: Tracing
Evaluation
Hub
Data Annotation
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Multimodal Vision Support Transforms LangSmith Playground
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🌌 🛝 Multimodal support in LangSmith Playground
— LangChain (@LangChain) 4 décembre 2023
With the announcement of GPT-4-vision models, it has never been easier to convert rough sketches into runnable prototypes.
Nevertheless, a simple prompt may not suffice, and prompt engineering can guide the LLM to yield better… pic.twitter.com/55NnFHbg8eMultimodal support in LangSmith Playground With the announcement of GPT-4-vision models, it has never been easier to convert rough sketches into runnable prototypes. Nevertheless, a simple prompt may not suffice, and prompt engineering can guide the LLM to yield better
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Retrieval-Augmented Generation: RAG Theory to LangChain Implementation
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Retrieval-Augmented Generation: From Theory to LangChain Implementation We've really been enjoying @helloiamleonie
's articles lately Check out this fantastic blog covering the basics of RAG, the theory behind it, and how to use it in practice Blog: https://
towardsdatascience.com/retrieval-augm
ented-generation-rag-from-theory-to-langchain-implementation-4e9bd5f6a4f2
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Mistral 7b OSS Models LangServe LangSmith Showcase
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Mistral 7b User Showcase + LangServe & LangSmith This great Austin LangChain 102 meetup produced a fantastic educational video covering OSS models, LangServe, and LangSmith https://
youtube.com/watch?v=haad3i
9VROs
… @colinmcnamara for hosting, and @Roger_M_Taylor for bringing to our attn -
Adding Long Term Memory to OpenAI GPTs Overview
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A great overview of how we added long term memory to OpenGPTs!! https://t.co/9zRqXGZVN6
— LangChain (@LangChain) 2 décembre 2023A great overview of how we added long term memory to OpenGPTs!!
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Building Retrieval Augmented Generation Chatbot with PDFs
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Building a Retrieval Augmented Generation Chatbot If you are looking to learn how to build an end-to-end app to allows users to talk with their PDFs, check out this from @sophiamyang It covers: Ingestion
Prompting
Frontend Blog: https://
sophiamyang.medium.com/building-a-ret
rieval-augmented-generation-chatbot-d567a24fcd14
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OpenSearch RAG Template: Vector Search for LangChain Applications
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RAG with OpenSearch OpenSearch is a flexible, open source database that has recently added vector search capability. This makes it a perfect candidate for RAG applications Our new LangChain Template shows how to get started with OpenSearch https://
templates.langchain.com/?integration_n
ame=rag-opensearch
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LangChain Newsletter: Templates Hub, LangSmith, Benchmarks Released
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Latest LangChain Newsletter is out LangChain Templates Hub
7 days of LangSmith
LangChain Benchmarks
OpenGPTs And LOTS of awesome stuff from our community that we wanted to highlight Read here & sign up to get it in your inbox every other week https://
blog.langchain.dev/week-of-11-27-
langchain-release-notes/
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LangChain Templates Overview: Cognitive Architectures with LangServe Deployment
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Great new of overview of langchain templates (boilerplate for different cognitive architectures) Including how to easily deploy them with langserve