Fast Semantic Data Search with AI Vector Search

Fast Semantic Data Search with AI Vector Search - Oracle

This support comes in the form of a new capability in Oracle Database 23ai called “AI Vector Search.” It includes vectors as a native data type as well as ...

Hyper fast Vector Semantic Search for LLMs and General AI - LinkedIn

SingleStore Kai is an API compatible with MongoDB that offers up to 80-100x faster aggregations and analytics on JSON data without any query changes or ...

Vector Search vs Semantic Search - Timescale

PostgreSQL but faster. Built for lightning-fast ingest and querying of time-based and event data. Time series and analytics. AI and ...

Why is Vector Search so fast? : r/Database - Reddit

Semantics relates to the meaning of words, as compared to syntax, which is about how words are arranged in grammatical sequence. 'Semantic' is ...

Vector Search On GitHub

Dependency on training data: The quality of semantic search results is closely tied to the AI model's training data, which means it may not ...

Using Vector Search for Generative AI - YouTube

56:49 · Go to channel · Fast and Precise Business and Semantic Data Search with AI Vector Search. Oracle Developers•7.7K views · 11:37 · Go to ...

Semantic vs Vector search - by Simeon Emanuilov - Medium

In the era of data explosion and advanced AI technologies, the way we search for and retrieve information has evolved dramatically.

Response speed with semantic searching - OpenAI Developer Forum

Hello, I'm quite new to AI and ChatGPT. I ... Use a vector database instead of cosine similarity searching manually on my code for MySQL.

Vector DB vs Elasticsearch: Which Offers Faster Semantic Search?

Index vectors - The vectors are indexed using an R-Tree, a spatial data structure optimized for fast nearest neighbors search. This allows ...

Build Semantic Search at Speed - Lucidworks

Part One: The Machine Learning Model. First, you need a way to encode text into a numerical vector. The text could be a product description, a user search query ...

What is Semantic Search? - Elastic

Diagram showing the steps of generative AI including vector representation and ... semantic search fast for AI search apps and generative AI experiences.

Is semantic search the same as querying a vector database?

Semantic Search and Vector Search do have a lot of overlap and both terms will bring different opinions and interpretations, so I will share ...

Overview of Vertex AI Vector Search - Google Cloud

: An embedding is a type of vector that's used to represent data in a way that captures its semantic meaning. Embeddings are typically created using machine ...

My strategy for picking a vector database: a side-by-side comparison

Edit: For transparency, I am the co-fouder of Vectorview.ai which is an analytics tool for semantic search that let's developers understand how ...

What is vector search? - Algolia Blog

tl;dr — Vector search is a search method that involves representing semantic ... When we feed that AI words (or other short pieces of textual data ...

Choosing vector database: a side-by-side comparison | Hacker News

... ai/semantic-search-with-multi-vector-inde... for details. field embeddings type tensor(p{}, x[384]) to represent a multi-vector field ...

What is vector search? Better search with ML - Elastic

It can quickly deliver answers to queries based on similarity search. That's because vector embedding captures the unstructured data beyond text, such as videos ...

Differences in search latency between AI semantic and keyword ...

Is there any data on latency for Semantic search and Semantic Related Topics v. key-word search and Suggested Topics? Thanks in advance.

Vector Search: The Future of Data Querying Explained - YouTube

Vector Search: The Future of Data Querying Explained | Semantic Searching ... Why are vector databases so FAST? Underfitted•19K views · 48:13.

python - Speed up semantic search for large dataset with custom ...

To get the best out of my data composed both of free texts and metadata, I have come up with an hybrid solution using sentence transformer ...