LangChain - LangChain Blog (Page 13)

Summarizing and Querying Data from Excel Spreadsheets Using eparse and a Large Language Model

Editor's Note: This post was written by Chris Pappalardo, a Senior Director at Alvarez & Marsal, a leading global professional services firm. The

8 min read

Evaluating RAG pipelines with Ragas + LangSmith

Editor's Note: This post was written in collaboration with the Ragas team. One of the things we think and talk about a lot

10 min read

Cube x LangChain: Building AI experiences with LLMs and the semantic layer

Editor's Note: This post was written in collaboration with the Cube team. The semantic layer plays a key role in ensuring correctness and

3 min read

Epsilla x LangChain: Retrieval Augmented Generation (RAG) in LLM-Powered Question-Answering Pipelines

Editor's Note: This post was written in collaboration with the Epsilla team. As more apps rely on Retrieval Augmented Generation (RAG) for building

3 min read

Tavrn x LangChain: Integrating Noah: ChatGPT with Google Drive and Notion data

Editor's Note: This post was written in collaboration with the Tavrn team. They were able to build a new personal assistant app, Noah,

3 min read

Using LangSmith to Support Fine-tuning

Summary We created a guide for fine-tuning and evaluating LLMs using LangSmith for dataset management and evaluation. We did this both with an open source

By LangChain 9 min read

Introducing Airbyte sources within LangChain

Editor's Note: This post was written in collaboration with the Airbyte team. They've made it really easy to connect even more

4 min read

LangChain 🤝 DemoGPT: New Era for Gen-AI Applications

Editor's Note: This post was written in collaboration with the DemoGPT team. We're excited about what they're doing to

7 min read

Zep x LangSmith: Foundations of LLM app development with LangChain.js and Zep

Learn how to build three foundational LLM apps using TypeScript, LangChain.js, and Zep. Editor's Note: This post was written in collaboration with

10 min read

Langchain x Predibase: The easiest way to fine-tune and productionize OSS LLMs

Editor's Note: This post was written in collaboration with the Predibase team. We're really excited about the way their integration with

2 min read

Qdrant x LangChain: Endgame Performance

Editor's Note: This post was written by the Qdrant team and cross-posted from their blog. As more LLM applications move into production, speed,

4 min read

MultiOn x LangChain: Powering Next-Gen Web Automation & Navigation with AI

Editor's Note: This post was written in collaboration with MultiOn. We're really excited about the way they're using Agents

2 min read