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Weaviate — Open-Source Vector Database with Graph Capabilities

Weaviate — Open-Source Vector Database with Graph Capabilities

At Softcolon, we harness Weaviate's unique combination of vector search and knowledge graph capabilities to build intelligent AI applications that understand complex relationships in data. Our expertise in Weaviate enables businesses to create sophisticated semantic search and RAG systems with advanced reasoning capabilities.

What Makes Weaviate Unique in Vector Database Space?

Vector + Graph Hybrid

Combine vector similarity search with graph relationships to understand both semantic meaning and contextual connections between data points for richer AI applications.

Built-in ML Models

Leverage pre-trained embedding models for text, images, and multi-modal content, or bring your own models with flexible integration options and automatic vectorization.

GraphQL Native API

Query your data using intuitive GraphQL syntax that naturally maps to both vector operations and graph traversals, making complex queries simple and efficient.

Generative Search

Combine retrieval with generation using integrated LLMs to provide explanatory answers, summaries, and insights directly from your vector database queries.

How does Weaviate combine vector search with knowledge graphs?

Explore how Weaviate's innovative hybrid approach can enhance your AI application capabilities.