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Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs are fantastic, and they keep getting better at a staggering pace. I have non-negotiable reasons for preferring a local setup over relying on cloud giants like Claude or ChatGPT. Because of ...
Searchenginejournal.com

Introduction To Vector Databases And How To Use AI For SEO

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Changing AI math could reduce the hardware burden, researchers show

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Zilliz Launches Loon, a Lake-Native Storage Engine That Lets One Copy of Vector Data Serve Every AI Workload

Zilliz, a leading AI data infrastructure company and the creator of Milvus, recently announced Loon, the new storage engine that powers Zilliz Vector Lakebase and ships in Milvus 3.0. Loon is the lake ...
dbta

Weaviate Introduces Vector Embedding Service

Weaviate is launching its latest SaaS service, Weaviate Embeddings, to bring freedom and flexibility to a crucial area of AI development: data vectorization. According to the company, Weaviate ...
VentureBeat

Qodo’s open code embedding model sets new enterprise standard, beating OpenAI, Salesforce

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Qodo, an AI-driven code quality platform ...