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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 Haystack?

Harness the latest advancements in natural language processing by implementing Haystack's pipeline framework with your own datasets. This allows for the development of powerful solutions tailored for a wide range of NLP applications, including semantic search, question answering, summarization, and document ranking. You can evaluate different components and fine-tune models to achieve peak performance. Engage with your data using natural language, obtaining comprehensive answers from your documents through sophisticated question-answering models embedded in Haystack pipelines. Perform semantic searches that focus on the underlying meaning rather than just keyword matching, making information retrieval more intuitive. Investigate and assess the most recent pre-trained transformer models, such as OpenAI's GPT-3, BERT, RoBERTa, and DPR, among others. Additionally, create semantic search and question-answering systems that can effortlessly scale to handle millions of documents. The framework includes vital elements essential for the overall product development lifecycle, encompassing file conversion tools, indexing features, model training assets, annotation utilities, domain adaptation capabilities, and a REST API for smooth integration. With this all-encompassing strategy, you can effectively address various user requirements while significantly improving the efficiency of your NLP applications, ultimately fostering innovation in the field.

Media

Media

Integrations Supported

Hugging Face
OpenAI
Agno
Anthropic
Azure OpenAI Service
DeepEval
Dify
DocumentDB for VS Code
Grok
IBM API Connect
Jina AI
Mem0
Mistral AI
Model Context Protocol (MCP)
Semantic Kernel
Superlinked

Integrations Supported

Hugging Face
OpenAI
GPT-3
Milvus
Pinecone
RoBERTa

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

Pricing not provided

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

deepset

Date Founded

2018

Company Location

Germany

Company Website

haystack.deepset.ai/

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

AI Fine-Tuning

Not specified

Context Engineering

Not specified

Prompt Engineering

Not specified

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