LangChain - LangChain Blog

[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

Release Notes 3 min read

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

6 min read

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

6 min read

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

7 min read

[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

Release Notes 3 min read

LangChain Integrates NVIDIA NIM for GPU-optimized LLM Inference in RAG

Roughly a year and a half ago, OpenAI launched ChatGPT and the generative AI era really kicked off. Since then we’ve seen rapid growth

By LangChain 4 min read

Enhancing RAG-based application accuracy by constructing and leveraging knowledge graphs

A practical guide to constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain Editor's Note: the following is

Parter Post 7 min read

Benchmarking Query Analysis in High Cardinality Situations

Several key use cases for LLMs involve returning data in a structured format. Extraction is one such use case - we recently highlighted this with

6 min read

Iterating Towards LLM Reliability with Evaluation Driven Development

Editor's Note: the following is a guest blog post from the Devin Stein, CEO of Dosu. Dosu is an engineering teammate that helps

7 min read

[Week of 3/4] LangChain Release Notes

✂️ Extraction Use Case One of the main use cases for LLMs is extracting structured data from unstructured text. We've added a lot of

Release Notes 2 min read

Use Case Accelerant: Extraction Service

Today we’re excited to announce our newest OSS use-case accelerant: an extraction service. LLMs are a powerful tool for extracting structured data from unstructured

By LangChain 7 min read

[Week of 2/19] LangChain Release Notes

🚀 LangSmith Launch! LangSmith is now generally available - no more waitlist! Sign up for free here. * Video resources: LangSmith in 10 minutes & In Depth

By LangChain 1 min read