Structured Tools TL;DR: we're introducing a new abstraction to allow for usage of more complex tools. While previous tools took in a single string
Auto-Evaluator Opportunities Editor's Note: this is a guest blog post by Lance Martin. TL;DR We recently open-sourced an auto-evaluator tool for grading LLM question-answer
Callbacks Improvements TL;DR: We're announcing improvements to our callbacks system, which powers logging, tracing, streaming output, and some awesome third-party integrations. This will better
Improving Document Retrieval with Contextual Compression Note: This post assumes some familiarity with LangChain and is moderately technical. 💡 TL;DR: We’ve introduced a new abstraction and a new document Retriever
Autonomous Agents & Agent Simulations Over the past two weeks, there has been a massive increase in using LLMs in an agentic manner. Specifically, projects like AutoGPT, BabyAGI, CAMEL, and
Auto-Eval of Question-Answering Tasks By Lance Martin Context LLM ops platforms, such as LangChain, make it easy to assemble LLM components (e.g., models, document retrievers, data loaders) into
Announcing LangChainJS Support for Multiple JS Environments TLDR: We're announcing support for running LangChain.js in browsers, Cloudflare Workers, Vercel/Next.js, Deno, Supabase Edge Functions, alongside existing support for
Custom Agents One of the most common requests we've heard is better functionality and documentation for creating custom agents. This has always been a bit
Retrieval TL;DR: We are adjusting our abstractions to make it easy for other retrieval methods besides the LangChain VectorDB object to be used in LangChain.
Prompt Selectors One common complaint we've heard is that the default prompt templates do not work equally well for all models. This became especially pronounced
Chat Models Last week OpenAI released a ChatGPT endpoint. It came marketed with several big improvements, most notably being 10x cheaper and a lot faster. But it
Using the ChatGPT API to evaluate the ChatGPT API OpenAI released a new ChatGPT API yesterday. Lots of people were excited to try it. But how does it actually compare to the existing API?
