LangChain + Vectara: better together Introduction One of the main use cases of LangChain is connecting LLMs to user data, allowing users to build personalized LLM applications. A key part
GPTeam: A multi-agent simulation Editor's Note: This is another edition in our series of guest posts highlighting novel applications of LangChain. After the Generative Agents paper was
Going Beyond Chatbots: How to Make GPT-4 Output Structured Data Using LangChain By Jacob Lee Over the past few months, I had the opportunity to do some cool exploratory work for a client that integrated LLMs like
Auto-Evaluation of Anthropic 100k Context Window Lance Martin Retrieval Architectures LLM question answering (Q+A) typically involves retrieval of documents relevant to the question followed by synthesis of the retrieved chunks
Rebuff: Detecting Prompt Injection Attacks [Editor's Note]: we're excited to highlight a guest blog by Willem Pienaar. As more and more LangChains make their way into
Plan-and-Execute Agents TL;DR: We’re introducing a new type of agent executor, which we’re calling “Plan-and-Execute”. This is to contrast against the previous types of
Feature Stores and LLMs Editor's note: big thank you to Willem Pienaar (Feast), Mike Del Balso (Tecton), and Simba Khadder (FeatureForm) for their comments and help on
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
Unleashing the power of AI Collaboration with Parallelized LLM Agent Actor Trees Editor's note: the following is a guest blog post from Cyrus at Shaman AI. We use guest blog posts to highlight interesting and
Gradio & LLM Agents Editor's note: this is a guest blog post from Freddy Boulton, a software engineer at Gradio. We're excited to share this
