A new open source service for extracting structured data from unstructured sources, such as text and PDF documents, has been announced. A hosted version with a simple front end is now available, free to use for developers.

Source: https://blog.langchain.dev/

Source: https://blog.langchain.dev/

A demo app called 'Self Learning GPTs' demonstrates how applications can enhance their performance over time by gathering and incorporating feedback using LangSmith.

Source: https://blog.langchain.dev/

LangChain is excited to integrate NVIDIA NIM microservices for faster and more efficient language model inference in the RAG framework, catering to enterprises transitioning from third-party to self-hosted solutions.

Source: https://blog.langchain.dev/

Source: https://blog.langchain.dev/

This article provides a practical guide on how to build and access information from knowledge graphs in RAG applications using Neo4j and LangChain.

Source: https://blog.langchain.dev/

LLMs are being used for structured data extraction and query analysis, with a focus on handling high-cardinality categorical values effectively.

Source: https://blog.langchain.dev/

A surprising discovery was made when multiple needles were found hidden within a haystack, raising questions about how they got there and their potential significance.

Source: https://blog.langchain.dev/

Dosu CEO Devin Stein discusses the importance of Evaluation Driven Development in enhancing software reliability.

Source: https://blog.langchain.dev/

The latest LangChain release focuses on an extraction use case.

Source: https://blog.langchain.dev/