SEARCHSearch & retrieval
Jevchat
Amir Husain@amirhusain_tx
0:49Jevchat connects Jev to a repository of approximately 7 million documents, utilizing Information Retrieval (IR) and Jev to select relevant facts for constructing answers.
TakeMy jevchat connects jev to a repo of ~7 million documents and uses IR+jev to select the best facts to piece together for an answer.
Chat with @typesafeai's Jev. My jevchat connects jev to a repo of ~7 million documents and uses IR+jev to select the best facts to piece together for an answer. @CompleteSkeptic says jev is not made for chat, but maybe it is. More below. For now, here's a quick demo: x.com/amirhusain_tx/status/210168923485186
Related builds
Vectorless RAG with Jev
This project introduces a novel approach to Retrieval Augmented Generation (RAG) that replaces traditional embedding methods with a structured, table-of-contents-based navigation system, significantly improving speed and reducing costs by offloading non-generative tasks to Jev.
