all AI news
Cube x LangChain: Building AI experiences with LLMs and the semantic layer
Aug. 23, 2023, 6:46 p.m. | LangChain
LangChain blog.langchain.dev
Editor's Note: This post was written in collaboration with the Cube team. The semantic layer plays a key role in ensuring correctness and predictability when building text-to-sql LLM-based applications. Their integration with LangChain makes it really easy to get started with building AI applications on top of the
ai applications applications building collaboration easy editor integration langchain llm llms role semantic semantic layer sql team text text-to-sql
More from blog.langchain.dev / LangChain
[Week of 5/13] LangChain Release Notes
1 day, 9 hours ago |
blog.langchain.dev
Integrating LangChain with Azure Container Apps dynamic sessions
2 days, 8 hours ago |
blog.langchain.dev
Pairwise Evaluations with LangSmith
3 days, 11 hours ago |
blog.langchain.dev
LangChain v0.2: A Leap Towards Stability
1 week, 1 day ago |
blog.langchain.dev
Access Control Updates for LangSmith
1 week, 3 days ago |
blog.langchain.dev
[Week of 4/29] LangChain Release Notes
2 weeks, 1 day ago |
blog.langchain.dev
Regression Testing with LangSmith
2 weeks, 3 days ago |
blog.langchain.dev
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US