As the year draws to a close, highlighting two pieces of content that really summed up 2023 for LangChain: LangChain State of AI 2023: highlighting all the trends in models, vectorstores, retrieval and evaluation that we saw over the past year https://
blog.langchain.dev/langchain-stat
e-of-ai-2023/
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LangChain State of AI 2023: Year Review Trends
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DataRobot closes generative AI confidence gap production
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How can your organization drive value in production with #generativeAI? @451Research covers first-of-its-kind capabilities from DataRobot to help close the generative AI confidence gap, empowering organizations to operate with correctness and control. Download the special
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dbt-Databricks: Materialized Views and Real-Time Streaming
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What’s new with dbt-databricks? Materialized Views Syntax to read from cloud data storage Access to advanced streaming concepts See how these features help deliver fresh, real-time insights to businesses with the simplicity of SQL and dbt: https://
bit.ly/46Z1ikr -
Process Mining: Key Technology for AI-Adopting Enterprises
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[#Article] Celonis Report: Process Mining, a Key Technology for Enterprises Adopting #AI https://actuia.com/actualite/rapport-celonis-le-process-mining-une-technologie-cle-pour-les-entreprises-adoptant-lia/
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HR Analytics Revolution: AI, No-Code, and Blockchain Transform Human Resources
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Explore the exciting advancements in #HR #analytics powered by #data and #AI. Gain insights into how no-code solutions, along with future technologies like the #metaverse and #blockchain, are paving the way for a new era in #HR.
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Pinecone CEO on Vector Databases for AI Knowledge
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Pinecone’s CEO is on a quest to give AI something like knowledge Pinecone CEO Edo Liberty’s insight years ago at Amazon was that using vectors couldn’t simply be stuffed inside of an existing database. “It is a separate architecture, a separate database, a new kind of database,”
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Platform Release: AI Building Tools and Azure ML Deployment
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Our final platform release of the year is here with enhancements for #AI builders, operators, and more! Build binary and regression projects on up to 20GB of connection or URL-sourced datasets. Automated deployment and replacement of Scoring code in #AzureML is now
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DataAISummit 2024 Call for Proposals Now Open
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CFP is open for #DataAISummit 2024! Submit your proposal for a 20-minute lightning talk, 40-minute session, or 90-minute technical deep dive about how you are tackling data and #AI challenges. https://
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Customizing LangChain with Neo4j for Advanced RAG Systems
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Customized LangChain @neo4j Integration If you want to build advanced RAG, you probably need to know how to customize any off-the-shelf guide to your use case @tb_tomaz dives deep on how to do this with Graph DBs like Neo4j Blog: https://
github.com/langchain-ai/l
angchain/pull/15084
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RAG Inference with Local Models on CPUs
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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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