Building a RAG Pipeline with LangChain and Amazon Bedrock Amazon Bedrock has lots of amazing models available to build LLM applications with This guide walks through *in detail* how to get started with them to build a RAG pipeline https://
gettingstarted.ai/langchain-bedr
ock/
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@langchain
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Building RAG Pipelines with LangChain and Amazon Bedrock
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Building Code Agents: Programming AI Software Engineers
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Webinar Wednesday 3/20: Building Code Agents! Sign up here https://
crowdcast.io/c/codeagents Agents that write and run code are powerful, as Cognition Labs showed with their recent release of Devin, the "AI SWE". But they are complex to program, hard to deploy, and even harder -
Building and Scaling AI Applications with LangChain and Pulumi
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SF Meetup on Wednesday, March 27! Building, deploying, and scaling AI applications and services requires a lot of cross-domain expertise and collaboration. Join our meetup to hear from LangChain and Pulumi experts and learn how modern development teams are building
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Knowledge Graphs Boost RAG Accuracy with Neo4j LangChain
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Using knowledge graphs to boost RAG accuracy Check out this guide to constructing and retrieving information from knowledge graphs in RAG applications with
@neo4j and LangChain. https://
blog.langchain.dev/enhancing-rag-
based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/
… Graph RAG is gaining momentum as a powerful addition to -
High Cardinality Categorical Data Handling in Query Analysis
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Benchmarking Query Analysis in High Cardinality Situations When returning information in a structured format the fields can be a myriad of types: string, boolean, integers. One of the hardest types to correctly handle is high-cardinality categorical values (or enums). In
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OpenGPTs Hacking Hours Event Announcement
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OpenGPTs Hacking Hours Tomorrow, Friday March 15th, 4:30-7:30pm PST Join us and our friends at http://
Sema4.ai for hacking hours dedicated on OpenGPTs! We'll show some cool new features, and discuss the future of the project. We are excited to get your feedback, and -
LangChain 0.2 Release: Production-Ready Libraries Update
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RFC: Expedited 0.2 release For the last ~6 months we've been pushing hard to make the LangChain libraries production ready. A big part of this has been splitting up packages to make them lightweight and easier to properly version. Since `langchain` (the package) 0.1 we've
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Building STORM with LangGraph for Synthetic Wikipedia
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Building STORM with LangGraph Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking (STORM) is a recent paper from @EchoShao8899 et al offering a new approach for generating entirely synthetic Wikipedia-style pages. The basic algorithm is as
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Building Google’s Dramatron with LangGraph.js and Claude 3
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Building Google's Dramatron with LangGraph.js & Claude 3 We just released a new long-form (1.5 hours!!) YouTube video walking through how to build @GoogleDeepMind
's Dramatron using LangGraphJS and @AnthropicAI
's new long context, super fast Claude 3 "Haiku"! "Dramaton" is a -
LangChain LangServe LangSmith Astra Sales Copilot Integration
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Thanks @esynergy_ for the write up on how you use LangChain, LangServe, and LangSmith + Astra from our friends at @DataStax
! https://
esynergy.co.uk/insights/blog/
sales-copilot/
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