vector search

Scaling Vector Search: Comparing Quantization and Matryoshka Embeddings for 80% Cost Reduction

is on the core of AI infrastructure, powering multiple AI features from Retrieval-Augmented Generation (RAG) to agentic skills and long-term memory. Consequently, the demand for indexing large datasets is growing rapidly. For engineering...

Optimizing Vector Search: Why You Should Flatten Structured Data 

structured data right into a RAG system, engineers often default to embedding raw JSON right into a vector database. The fact, nonetheless, is that this intuitive approach results in dramatically poor performance. Modern...

OpenAI acquires search and database evaluation startup…”Strengthens AI search”

OpenAI acquired search and database evaluation startup Roxet. That is interpreted as an intention to strengthen the performance of 'ChatGPT' with a real-time search function and further support the launch of a brand...

Linq raises $6.6M to make use of AI to make research easier for financial analysts

When generative AI tools began making waves in late 2022 after the launch of ChatGPT, the finance industry was considered one of the primary to acknowledge these tools’ potential for speeding up the data-gathering...

Recent posts

Popular categories

ASK ANA