[Week of 4/29] LangChain Release Notes 🦜🛠️ New in LangSmith * 😍 Improved Regression Testing Experience: When making changes to your LLM application, it’s important to understand whether or not behavior has regressed
How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog we walk through how Dosu uses LangSmith to
Regression Testing with LangSmith This blog post walks through our improved regression testing experience in LangSmith. If video form is more your style, you can check out our YouTube
Graph-based metadata filtering for improving vector search in RAG applications Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j Editor's Note: the following is a guest blog post from Tomaz
Announcing LangSmith is now a transactable offering in the Azure Marketplace Today, we’re thrilled to announce that enterprises can purchase LangSmith in the Azure Marketplace as an Azure Kubernetes Application. LangSmith is a unified DevOps
Empowering Development with FlowTestAI: Bridging APIs and LLMs for Enhanced Testing and Privacy Editor's note: we're excited to highlight this blog from FlowTestAI. FlowTestAI is an exciting startup building on top of LangChain. Specifically,
[Week of 4/15] LangChain Release Notes 🤓 Evaluations We’ve been hearing from our users that they’re still in the dark when it comes to identifying how changes to their application
Tool Calling with LangChain TLDR: We are introducing a new tool_calls attribute on AIMessage. More and more LLM providers are exposing API’s for reliable tool calling. The
Rethinking Our Documentation LangChain has seen some incredible growth in the last year and half. The Python open-source library is now downloaded over 7 million times per month,
LangSmith: Production Monitoring & Automations Key Links: * YouTube Walkthrough * Sign up for LangSmith here If 2023 was a breakthrough year for LLMs, then 2024 is shaping up to be the
LangFriend: a Journal with Long-Term Memory One of the concepts we are most interested in at LangChain is memory. Whenever we are interested in a concept, we like to build an
Open Source Extraction Service Earlier this month we announced our most recent OSS use-case accelerant: a service for extracting structured data from unstructured sources, such as text and PDF
[Week of 3/18] LangChain Release Notes 🤓 Using Feedback to Improve Your Application: Self Learning GPT Everyone is trying to figure out how to get better quality LLM-applications. And for us, prompt