Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...

AI solves everything. Well, it might do one day, but for now, claims being lambasted around in this direction may be a little overblown in places, with some of the discussion perhaps only (sometimes ...

What if the future of AI-driven search wasn’t just about speed or accuracy, but about making complex systems accessible to everyone? Enter Gemini File Search, a tool that promises to simplify the ...

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...

The recently popularized summarization feature on search platforms such as Google, which leverages its Gemini AI tool, brings retrieval-augmented generation (RAG) to the forefront as one of the ...

Image: John Tredennick, Merlin Search Technologies with AI. As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating the ...

Startup RapidFire AI Inc. today released an open-source software package aimed at simplifying the development of the pipelines that are increasingly central to enterprise artificial intelligence ...