Zilliz is looking to become the preferred vector database choice for LLM-powered applications through strategic enhancements and a cost-effective new pricing model that now includes a free tier. The ...

In a RAG application, for example, LLM application frameworks connect data sources to vector databases via encoders, modify user queries by enhancing them with the result of vector database ...

With LLM integration into its data lakehouse Cloudera is easing integration with open-source LLMs and vector databases for AI applications.

An LLM, on the other hand, is an extreme example of unstructured data store. At the core of an LLM is a neural network that’s been trained primarily on a massive amount of human-generated text. At ...

For the Oracle implementation, developers can use either Oracle SQL Developer with Microsoft Copilot for VSCode, or Oracle ...

Neo4j, the graph database and analytics company, is announcing that it has integrated native vector search into its core database capabilities, introducing massive support for the ever-popular and ...

The diagram shows the grounding service after the model in the flow; that’s not exactly how RAG works, as I explained in January. Out-of-band, you build your vector database.

The Astra DB vector database provides developers with elegant APIs, powerful real-time data pipelines, and complete ecosystem integrations to quickly build and deploy production-level AI applications.

Dnotitia Secures 16 Billion KRW Government Projects to Advance Vector Database Technology for LLM by EIN Presswire September 10, 2024 7:00 AM | 4 min read | Make a Comment Dnotitia, Inc.