LangChain

Sharing LangSmith Benchmarks

The single biggest pain point we hear from developers taking their apps into production is around testing and evaluation. This difficulty is felt more acutely

9 min read

Introducing Dream – an AI no-code tool to build fully functional web apps and components with natural language

I’m Calix, and I’m currently a sophomore at USC Iovine & Young Academy. For my hacker residency at LangChain, I continued working on

6 min read

Introducing Tuna - A Tool for Rapidly Generating Synthetic Fine-Tuning Datasets

Editor's Note: This post was written by Andrew Kean Gao through LangChain's Student Hacker in Residence Program. Brief Overview Tuna is

16 min read

"Research Assistant": Exploring UXs Besides Chat

TLDR: We’re excited to announce a new LangChain template for helping with research, heavily inspired by and in collaboration with the GPT Researcher team.

6 min read

LangChain Expands Collaboration with Microsoft

Today, we’re thrilled to announce a collaboration between LangChain and Microsoft. LangChain helps developers build context-aware reasoning applications and powers some of the most

Case Studies 2 min read

Query Construction

Key Links * Text-to-metadata: Updated self-query docs and template * Text-to-SQL+semantic: Cookbook and template There's great interest in seamlessly connecting natural language with diverse

7 min read

Morningstar Intelligence Engine puts personalized investment insights at analysts' fingertips

Challenge Financial services is one of the most data-driven industries and financial professionals are always hungry for more data and better tools to drive value

Case Studies 2 min read

Parallel Function Calling for Structured Data Extraction

Important Links: * Cookbook for extraction using parallel function calling One of the biggest use cases for language models that we see is in extraction. This

4 min read

♠️ SPADE: Automatically Digging up Evals based on Prompt Refinements

Written by Shreya Shankar (UC Berkeley) in collaboration with Haotian Li (HKUST), Will Fu-Hinthorn (LangChain), Harrison Chase (LangChain), J.D. Zamfirescu-Pereira (UC Berkeley), Yiming Lin

6 min read

Implementing advanced RAG strategies with Neo4j

Editor's note: We're excited to share this blogpost as it covers several of the advanced retrieval strategies we introduced in the

7 min read

Embeddings Drive the Quality of RAG: Voyage AI in Chat LangChain

Editor's Note: This post was written by the Voyage AI team. This post demonstrates that the choice of embedding models significantly impacts the

6 min read

LangChain Templates

Today we're excited to announce the release of LangChain Templates. LangChain Templates offers a collection of easily deployable reference architectures that anyone can

6 min read