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Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications

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

8 min read
Code Interpreter API

Code Interpreter API

Editor's Note: This is another installation of our guest blog posts highlighting interesting and novel use cases. This blog is written by Shroominic

5 min read
Analyzing User Interactions with LLMs to Improve our Documentation

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

3 min read
LangChain x Context: Building Better Chat Products With User Analytics

LangChain x Context: Building Better Chat Products With User Analytics

Today we’re announcing a Langchain integration for Context. This integration allows builders of Langchain chat products to receive user analytics with a one line

2 min read
Neon x LangChain: HNSW in Postgres with pg_embedding

Neon x LangChain: HNSW in Postgres with pg_embedding

Editor’s Note: This blog post was written in collaboration with the Neon team (Raouf Chebri in particular). The vectorstore space is on fire, and

4 min read
LangChain 🤝 Streamlit

LangChain 🤝 Streamlit

The initial integration of Streamlit with LangChain and our future plans.

2 min read
🎉 Prem Challenge🎉

🎉 Prem Challenge🎉

We're excited to announce a challenge hosted by Prem in collaboration with LangChain. At LangChain we try to make it easy as possible

6 min read
LangChain <> MongoDB Atlas

LangChain <> MongoDB Atlas

Today we’re announcing LangChain’s integration with MongoDB Atlas, adding support for one of the most popular developer data platforms in the world. This

3 min read
Data-Driven Characters

Data-Driven Characters

Data-driven-characters is a repo for creating, debugging, and interacting your own chatbots conditioned on your own story corpora.

11 min read
LangChain + Vectara: better together

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

4 min read
GPTeam: A multi-agent simulation

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

11 min read
Going Beyond Chatbots: How to Make GPT-4 Output Structured Data Using LangChain

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

4 min read

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