Vulnerabilities in Chainlit could be exploited without user interaction to exfiltrate environment variables, credentials, ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader data estate.

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If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Abstract: With the rapid advancement of satellite remote sensing technology, high-resolution optical remote sensing images have become increasingly crucial for monitoring energy infrastructure.

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI RAG add information that the large language model should ...

The applications of neural network models, shallow or deep, to information retrieval (IR) tasks falls under the purview of neural IR. Over the years, machine learning methods-including neural networks ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

In this tutorial, we demonstrate how to build an intelligent AI assistant by integrating LangChain, Gemini 2.0 Flash, and Jina Search tools. By combining the capabilities of a powerful large language ...

What if the way we retrieve information from massive datasets could mirror the precision and adaptability of human reading—without relying on pre-built indexes or embeddings? OpenAI’s latest ...