Embeddings

Vector search, built in

Curiosity includes a vector database. Embeddings are generated, stored, and queried in the same system as your graph: no separate infrastructure to build or maintain.

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How it works

From data to semantic search

Mark a field as vector-indexed and Curiosity handles the rest: embedding, indexing, and retrieval all run inside the same platform.

Embed

Text fields are encoded into vectors automatically at ingestion, using your choice of embedding model.

Store

Vectors live in an in-memory index inside Curiosity. No external vector database needed.

Query

Search by meaning, find similar items, or ground LLM responses — all through the same API you already use.

Capabilities

Embedding capabilities

Everything you need for vector search and semantic retrieval, integrated into one system.

Vector Database

Curiosity includes a vector database. No separate infrastructure needed.

Graph Embeddings

Generate embeddings from graph structure and relationships

Custom Embeddings

Integrate externally trained models like domain-specific embeddings

Embedding Pipelines

Run embedding models automatically when new data is ingested

Fast Embeddings

Process large datasets and run real-time inference with low infrastructure overhead

Embedding Setup

Configure chunking, overlap, and indexing settings per data type

Vector Search

Retrieve results by semantic similarity using an integrated HNSW index

Hybrid Search

Combine keyword and embedding search for more accurate results

Similarity Search

Search by semantic similarity with support for mixed retrieval strategies

Graph Boosting

Boost retrieval results based on graph relationships and proximity

Graph Filtering

Filter retrieval results using graph structure and properties

Tech Domain Search

Use graph context to improve accuracy on part numbers and codes

Embeddings

Vector search, built in

How it works

From data to semantic search

Capabilities

Embedding capabilities

Everything you need for vector search and semantic retrieval, integrated into one system.

FAQ

Learn more about Curiosity

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Connected knowlege for AI systems