Skip to content
LangChain Blog
  • Case Studies
  • In the Loop
  • Web Home
  • Try LangSmith
  • Docs
Sign in Subscribe
TitanTakeoff x LangChain: Supercharged Local Inference for LLMs

TitanTakeoff x LangChain: Supercharged Local Inference for LLMs

Editor's Note: This post was written in collaboration with the TitanML team. The integration between their NLP development platform + LangChain makes inference LLMs

3 min read
Boost Your Bottom Line and Performance: OpenAI’s 3.5T Fine-Tuning with LangSmith

Boost Your Bottom Line and Performance: OpenAI’s 3.5T Fine-Tuning with LangSmith

Editor's Note: This post was written in collaboration with Author Ryan Brandt from the ChatOpenSource.com team. It's a detailed look

6 min read
Xata x LangChain: new vector store and memory store integrations

Xata x LangChain: new vector store and memory store integrations

Editor's Note: This post was written in collaboration with the Xata team. We're excited about their new integrations and really enjoyed

5 min read
Chat Loaders: Fine-tune a ChatModel in your Voice

Chat Loaders: Fine-tune a ChatModel in your Voice

Summary We are adding a new integration type, ChatLoaders, to make it easier to fine-tune models on your own unique writing style. These utilities help

By LangChain 3 min read
Summarizing and Querying Data from Excel Spreadsheets Using eparse and a Large Language Model

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

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

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

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

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

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

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

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

Page 22 of 28

Load More Something went wrong with loading more posts
  • Sign up

© LangChain Blog 2025