Hermes Agent already remembers across sessions. The open-source agent from Nous Research ships with curated memory files and full-text session search. But a new community project argues that built-in ...

Ademola Balogun specializes in building practical AI solutions for real-world problems. Retrieval-Augmented Generation solved the hallucination problem. Then everyone discovered it can't actually ...

Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. Qdrant has released Qdrant 1.16, an update of the Qdrant ...

The rapid evolution of large language models is transforming industries, catalyzing advances in content generation, search, customer service, data analysis, and beyond. Yet, the breathtaking ...

An integration of Qdrant vector database with Haystack by deepset. The library finally allows using Qdrant as a document store, and provides an in-place replacement for any other vector embeddings ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

Chang She, previously the VP of engineering at Tubi and a Cloudera veteran, has years of experience building data tooling and infrastructure. But when She began working in the AI space, he quickly ran ...

Chatbots are among the most popular applications of large language models (LLMs). Often, an LLM's internal knowledge base is adequate for answering users questions. However, in those cases, the model ...