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
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
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
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,
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
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
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
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
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
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,
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
Benchmarking Question/Answering Over CSV Data This is a bit of a longer post. It's a deep dive on question-answering over tabular data. We discuss (and use) CSV data
