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
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
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
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
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
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
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
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,
Goodbye CVEs, Hello `langchain_experimental` One of the things that LangChain seeks to enable is connecting language models to external sources of data and computation. This allows language models to
Automating Web Research Key Links * Web Researcher Repo * New LangChain Retriever and Documentation * Hosted Streamlit App Motivation Web research is one of the killer LLM applications: Greg Kamradt
Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications LangChain exists to make it as easy as possible to develop LLM-powered applications. We started with an open-source Python package when the main blocker for
Analyzing User Interactions with LLMs to Improve our Documentation Introduction We're strongly committed to consistently enhancing our documentation and its navigability. Using Mendable, a AI-enabled chat application, users can search our documentation
