An In-Depth Guide to Contrastive Learning: Techniques, Models, and Applications

Discover the fundamentals of contrastive learning, including key techniques like SimCLR, MoCo, and CLIP. Learn how contrastive learning improves unsupervised learning and its practical applications.

LangChain vs LlamaIndex: Choose the Best Framework for Your AI Applications

Explore the detailed comparison of Llamaindex vs Langchain to make informed decisions. Discover the strengths of each tool for your project needs.

Teach your LLM to always answer with facts not fiction

A vector database that supports Structured Query Language can store more than vectors. Common data types like timestamps and arrays can be accessed and filtered within the database, which improves the accuracy and efficiency of vector search queries. Accurate results from the database can teach LLMs to speak with facts, which reduces hallucination and enhance the quality and credibility of answers from LLM.