LangChainAI has released version 0.1.0 with package and syntax changes, making it easier to integrate with neo4j. @tb_tomaz updated LLM notebooks to follow the new syntax. Neo4j acknowledges the updates, highlighting the improved integration. LangChainAI also announces the rapid deployment of LangServe templates, including support for Neo4J. Additionally, @lanterndb can now be used with LangChainAI, with a tutorial coming soon.
🚀 you can now use @lanterndb with @LangChainAI! 🦜 tutorial coming soon. s/o to @WHinthorn for the assist 😊 https://t.co/tWkgS7R2g2
Rapid deployment of LangServe templates: Neo4J Support for production has been one of the biggest needs we've heard consistently from developers. We've added ~100 templates that work out-of-the-box as deployable apps using LangServe. Today, we're releasing a hands-on video… https://t.co/o3bOsva6BP
🕸️Graph QnA with LangChain v0.1 @tb_tomaz has some of the best content out there on how to use LLMs to interact with graphs 🚀Over the weekend, he updated all his content to use LangChain v0.1 Perfect opportunity to jump in and start learning https://t.co/8KZ7wlPR4v https://t.co/HbVPgXOiYU
Take a look at these updates and how it is easier to integrate #neo4j with @LangChainAI Thank you, @tb_tomaz! https://t.co/xP5MKKNKcm
Take a look at these updates and how now its easier to integrate #neo4j with @LangChainAI Thank you, @tb_tomaz! https://t.co/xP5MKKNKcm
Just a couple of days ago, @LangChainAI released a 0.1.0 version ago with some package and syntax changes. To make it easier for you to integrate @neo4j with LangChain, I have updated my LLM notebooks to follow the new syntax and package structure. https://t.co/nAGYWAnCad https://t.co/S4JswD8AQ9