Document Search and Retrieval using RAG Great guide by @LightningAI and @aniketmaurya on building a retrieval pipeline Uses open source embedding and reranking models! https://
lightning.ai/lightning-ai/s
tudios/document-search-and-retrieval-using-rag?view=public§ion=recent
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@langchain
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Document Search Retrieval RAG Open Source Guide
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Building Long-Context RAG with Nomic Embeddings and Mistral
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Build Long-context RAG from scratch: Nomic Embeddings + Mistral The context window of open source LLMs and embedding models has been relatively small vs proprietary models. But, methods to expand context window (RoPE, self-extend) are quickly changing this. Today, @nomic_ai has
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LangSmith Test Run Charts Track Model Performance Across Revisions
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Track Eval Performance Across Revisions in LangSmith Want to make sure that performance on a benchmark dataset isn't degrading as you try new models, tweak the prompt, or change your retrieval strategy? This is now very easy to do with the introduction of test run charts in
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LangServe Frontend Integration with React and Tailwind CSS
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Chat With Your PDF Pt 2 of this series by @austinbv focuses on how to hook LangServe up to a full frontend Utilizes @tailwindcss and @reactjs Handles streaming of tokens & showing the retrieved documents
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Nomic Launches langchain-nomic Python Package for Embeddings
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@nomic_ai Embeddings Today we're thrilled to unveil the new langchain-nomic Python package, which integrtes with Nomic's Embedding API. Experience the power of embedding models that deliver results competitive with OpenAI's new text-embedding-3 models.
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LangChain Expression Language: From POC to Production
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"LCEL provides a fresh perspective on LLM-based application development. I highly recommended using it for your next LLM project." Community member Tom Darmon wrote a great deep-dive on LangChain Expression Language (already 1.5k likes on Medium) https://
medium.com/artefact-engin
eering-and-data-science/unleashing-the-power-of-langchain-expression-language-lcel-from-proof-of-concept-to-production-8ad8eebdcb1d
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OpenAI releases new embedding model for LangChain integration
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OpenAI recently released a new embedding model Check out @mesudarshan
's awesome new video on how to use them as part of LangChain! -
OpenGPTs YouTube Walkthrough: Hosted Version and Backend Code
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OpenGPTs YouTube walkthrough A proper deep dive into OpenGPTs! Covers two main things: How to use the hosted version
Walkthrough of the code that powers the backend https://
youtube.com/watch?v=HAn9vn
Jy6S4
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Emerging RAG patterns and best practices with DataStax
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While the space is still new, we're starting to see a few common patterns and trends emerge, especially around RAG We've teamed up with our friends at @DataStax to try to codify some of them! https://
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OpenGPTs Updates: Open Source AI Model Control Tools
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OpenGPTs Updates Some big updates to OpenGPTs! Reminder: OpenGPTs is an open source version of the GPT store where you can fully control the model used, the tools used, the retrieval strategy Blog + YouTube to dive into more detail! What are the updates? LangGraph: