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Beyond Text: Making GenAI Applications Accessible to All

Beyond Text: Making GenAI Applications Accessible to All

Editor's Note: This post was written by Andres Torres and Dylan Brock from Norwegian Cruise Line. Building UI/UX for AI applications is

8 min read
Robocorp’s code generation assistant makes building Python automation easy for developers

Robocorp’s code generation assistant makes building Python automation easy for developers

Challenge Robocorp was founded in 2019 out of frustration that the promise of developers being able to automate monotonous work hadn’t been realized. Right

Case Studies 2 min read
Multi-Vector Retriever for RAG on tables, text, and images

Multi-Vector Retriever for RAG on tables, text, and images

Summary Seamless question-answering across diverse data types (images, text, tables) is one of the holy grails of RAG. We’re releasing three new cookbooks that

5 min read
LangServe Playground and Configurability

LangServe Playground and Configurability

Last week we launched LangServe, a way to easily deploy chains and agents in a production-ready manner. Specifically, it takes a chain and easily spins

3 min read
Constructing knowledge graphs from text using OpenAI functions: Leveraging knowledge graphs to power LangChain Applications

Constructing knowledge graphs from text using OpenAI functions: Leveraging knowledge graphs to power LangChain Applications

Editor's Note: This post was written by Tomaz Bratanic from the Neo4j team. Extracting structured information from unstructured data like text has been

10 min read
A Chunk by Any Other Name: Structured Text Splitting and Metadata-enhanced RAG

A Chunk by Any Other Name: Structured Text Splitting and Metadata-enhanced RAG

There's something of a structural irony in the fact that building context-aware LLM applications typically begins with a systematic process of decontextualization, wherein

128 min read
You.com x LangChain

You.com x LangChain

Editor's Note: the following is a guest blog post from our friends at You.com. We've seen a lot of interesting

By LangChain 4 min read

The Prompt Landscape

Context Prompt Engineering can steer LLM behavior without updating the model weights. A variety of prompts for different uses-cases have emerged (e.g., see @dair_

7 min read
Test Run Comparisons

Test Run Comparisons

One pattern I noticed is that great AI researchers are willing to manually inspect lots of data. And more than that, they build infrastructure that

By LangChain 3 min read
Testing Fine Tuned Open Source Models in LangSmith

Testing Fine Tuned Open Source Models in LangSmith

Editor's Note. This blog post was written by Ryan Brandt, the CTO and Cofounder of ChatOpenSource, a business specializing in enterprise AI chat

5 min read
How to design an Agent for Production

How to design an Agent for Production

Editor's Note: This post is written by Dexter Storey, Sarim Malik, and Ted Spare from the Rubric Labs team. Important Links * GitHub repository

6 min read
Building LLM-Powered Web Apps with Client-Side Technology

Building LLM-Powered Web Apps with Client-Side Technology

The initial version of this blog post was a talk for Google’s internal WebML Summit 2023, which you can check out here. It’s

By LangChain 5 min read

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