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Elasticsearch and LangChain collaborate on production-ready RAG templates

Blog post from Elastic

Post Details
Company
Date Published
Author
Aditya Tripathi
Word Count
425
Company Posts That Month
32
Language
-
Hacker News Points
-
Post removed?
No
Summary

Elasticsearch and LangChain have partnered to develop production-ready RAG (retrieval-augmented generation) templates, enhancing the capabilities of generative AI applications. This collaboration leverages LangChain's LangServe and LangSmith tools, along with Elasticsearch's vector database capabilities, to support companies like Labelbox and Cisco in building scalable AI products. The initiative encourages developers to explore the Elasticsearch RAG template for LangChain and offers resources such as code notebooks and engineering blogs through Search Labs. However, users are advised to exercise caution when using generative AI tools, particularly with sensitive information, as the security and confidentiality of submitted data are not guaranteed.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
RAG 3 1,091 153 52 +46%
Vector Search 1 2,310 242 81 +35%
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