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What is Weaviate?

Weaviate is an open-source, AI-native database that helps organizations build and ship AI applications on a single, scalable foundation. It stores data objects alongside the vector embeddings produced by your chosen machine learning models and scales smoothly to billions of records. Teams can supply their own vectors or use Weaviate's built-in vectorization, then query their data through vector, keyword, and hybrid search to surface the most relevant results, even with complex filters. By integrating with leading large language models, Weaviate makes it straightforward to build retrieval-augmented generation, grounded question answering, and intelligent search over proprietary data. Beyond core retrieval, Weaviate offers a growing platform: the Query Agent converts natural-language questions into precise, cited queries; Engram provides managed memory that lets AI agents retain context over time; and Weaviate Embeddings handles vectorization as a managed service. Organizations can self-host under an open-source license or adopt fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, replication, and role-based access control. From semantic search and recommendations to agentic automation, Weaviate turns business data into AI-powered products.

What is Backboard?

Backboard serves as a cutting-edge AI infrastructure platform that provides a detailed API layer, allowing applications to uphold persistent, stateful memory while coordinating effortlessly across a variety of large language models. This innovative platform includes built-in retrieval-augmented generation alongside long-term context storage, enabling intelligent systems to remember, analyze, and operate consistently over extended interactions rather than merely functioning as disjointed demonstrations. By adeptly capturing context, interactions, and vast knowledge, it guarantees that the right information is both stored and retrieved accurately whenever necessary. Furthermore, Backboard facilitates stateful thread management that incorporates automatic model switching, hybrid retrieval, and adaptable stack configurations, which empowers developers to construct powerful AI systems without resorting to complicated workarounds. Its memory system has consistently achieved high rankings in industry benchmarks for precision, and Backboard’s API allows teams to integrate memory, routing, retrieval, and tool orchestration into one cohesive stack, thereby reducing architectural complexity and improving overall development productivity. This comprehensive approach not only simplifies the implementation process but also encourages creative advancements in the design of AI systems, ultimately positioning Backboard as a leader in the AI infrastructure space. As a result, developers can focus on innovation rather than being bogged down by technical challenges.

Media

Media

Integrations Supported

AWS Marketplace
Agno
Amazon Bedrock
Amazon SageMaker
Azure Marketplace
Azure OpenAI Service
Boomi
Cleanlab
Cohere
Composio
Contextual AI
Databricks
DocumentDB for VS Code
Gemini CLI
Jina AI
Model Context Protocol (MCP)
Superlinked
Tadata
Voyage AI

Integrations Supported

Alma SIS

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version

Pricing Information

$9 per month
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

Backboard

Company Location

Canada

Company Website

backboard.io

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

AI Memory Layers

Not specified

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