By LangChain

Fine-tune your LLMs with LangSmith and Lilac

In taking your LLM from prototype into production, many have turned to fine-tuning models to get more consistent and high-quality behavior in their applications. Services

By LangChain 6 min read

[Week of 9/18] LangChain Release Notes

New in LangSmith * Org Support in LangChain Hub: share and collaborate on prompts across your team. Easily pull in organizationally-approved prompts into your LangChain code.

By LangChain 4 min read

Announcing our Student Hacker in Residence Program, Fall '23 Semester

Today, we're opening up applications for our inaugural student hacker in residence program. We're looking for 3-5 students to work alongside the LangChain team this

By LangChain 1 min read

Announcing LangChain Hub

Today, we're excited to launch LangChain Hub–a home for uploading, browsing, pulling, and managing your prompts. (Soon, we'll be adding other artifacts like chains

By LangChain 6 min read

[Week of 8/21] LangChain Release Notes

New in Retrieval There was a lot happening in the retrieval space these past two weeks, so we wanted to highlight these explicitly! * MultiVector Retriever:

Release Notes 3 min read

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

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

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 in this

By LangChain 13 min read

GPT Researcher x LangChain

Here at LangChain we think that web research is fantastic use case for LLMs. So much so that we wrote a blog on it about

By LangChain 3 min read

Making Data Ingestion Production Ready: a LangChain-Powered Airbyte Destination

A big focus of ours over the past few months has been enabling teams to go from prototype to production. To take apps they developed

3 min read

Conversational Retrieval Agents

TL;DR: There have been several emerging trends in LLM applications over the past few months: RAG, chat interfaces, agents. Our newest functionality - conversational

4 min read

LangChain Expression Language

TL;DR: * We’re excited to announce a new syntax to create chains with composition. This comes along with a new interface that supports batch,

5 min read