"Working with LangChain and LangSmith on the Elastic AI Assistant had a significant positive impact on the overall pace and quality of the development and shipping experience. We couldn’t have achieved the product experience delivered to our customers without LangChain, and we
@langchain
-
LangChain and LangSmith: The Perfect AI Development Match
By
–
LangChain + LangSmith is the perfect match
-
LangChain Partners with Elastic to Launch AI Assistant
By
–
@langchain partners with @elastic to launch the Elastic AI Assistant!#BuiltWithLangChain https://
blog.langchain.dev/langchain-part
ners-with-elastic-to-launch-the-elastic-ai-assistant/
… -
Elastic Security Adds AI-Powered Analyst Workflow Features
By
–
Now Elastic Security enterprise customers have support for the security analyst workflow:
– alert summarization
– workflow suggestions
– query generation and conversion
– agent integration advice
and more! -
LangSmith Grouped Monitoring Charts for LLM A/B Testing
By
–
Grouped Monitoring Charts in LangSmith Our latest set of monitoring features make it possible to A/B test and compare different versions of your LLM application. Simply send up metadata or tags along with your runs, then head to the monitoring section in any project
-
Evaluating LLM-Powered UI Codegen Applications with Vision Models
By
–
How do you gain confidence in your LLM-powered applications? For example, a novel use for generative AI is codegen for UIs (famously, @vercel
's V0), but such apps can be tricky to evaluate. One solution: a custom LangSmith evaluator that uses a vision model instead of -
Building Chatbots with LLMs: Retrieval, Tools, Memory
By
–
Chatbot use cases Chatbots are one of the most popular use cases for LLMs. We've just overhauled our docs on how to build them! Learn about conversational retrieval, tool usage, memory/chat history management, and more. The examples are composed with LCEL and have full
-
Building Chatbots with Source Citations Using LangChain
By
–
Question Answering with Citations When building a chatbot over documents, it's often useful to ask it to cite it's sources. This can help build trust and check responses We've recently added a detailed guide on how to do this! Guide: https://
python.langchain.com/docs/use_cases
/question_answering/citations
… -
LangGraph Outperforms AutoGen in Future Internet Search
By
–
LangGraph beats AutoGen: How Future of Internet Search will look like? Thanks to @MervinPraison for highlighting LangGraph in his most recent YouTube video! Just the start 🙂
-
LangChain Trace: Public Tracking Link
By
–
Trace: https://smith.langchain.com/public/52dcdcd4-0fac-456e-b32b-e93e1cda9a2d/r
… Template:
—