Build Search-First, Multi-Modal, and Modular AI Applications With Weaviate.

Native hybrid search (BM25 + vector), multi-vector indexing, automated vectorizer modules, graph-like data relationships, and agentic retrieval workflows engineered with Weaviate Cloud, Weaviate Agents, Dynamic Tenant Isolation, and Embedded Vectorizers.

Build With Weaviate

Why Weaviate for AI/ML & Data

Native Hybrid Search Fusion

combine keyword (BM25) and dense vector search out-of-the-box with Reciprocal Rank Fusion (RRF) and tunable alpha weighting without managing a separate Elasticsearch cluster

Modular "Vectorizer" Ecosystem

dynamically generate embeddings on data ingestion by plugging into OpenAI, Cohere, Hugging Face, or Google Vertex AI directly inside Weaviate's schema

Graph-Linked Data Objects

cross-reference data objects using cross-pointing relationships, combining vector search precision with graph-like relational capabilities

Multi-Tenant Isolation & Dynamic Quantization

support thousands of isolated tenant spaces with zero performance bleed alongside Product, Rotational, and Binary Quantization for memory reduction

Build With Weaviate

What We Build With
Weaviate

Enterprise Hybrid RAG & Knowledge Engines

Hybrid RAG Engines

search-first Retrieval-Augmented Generation platforms combining keyword precision and semantic intent for high recall

Hybrid RAG Engines
Multi-Modal Data Ingestion Platforms

Multi-Modal Ingestion

Agentic Retrieval & Memory Store

Agentic Memory Store

High-Concurrency Multi-Tenant SaaS Backends

Multi-Tenant Backends

E-Commerce Recommendation & Shopping Copilots

E-Commerce Copilots

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Weaviate API & Data Expertise at StackDot

Schema Design & Vectorizer Configuration – defining class schemas
Hybrid Search Tuning & Fusion – optimizing BM25 parameters, vector alpha ratios (0
Cluster Deployment & Infrastructure as Code – orchestrating production Weaviate.
Memory Compression & Index Optimization – implementing HNSW index tuning
DevSecOps & RBAC Security – configuring OIDC authentication
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Where Weaviate Fits Best

Native Hybrid Search (BM25 + Vector)

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for native hybrid search (bm25 + vector) enterprises.

Native Hybrid Search (BM25 + Vector)
Modular In-Database Vectorization

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for modular in-database vectorization enterprises.

Modular In-Database Vectorization
Multi-Modal Vector Search

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for multi-modal vector search enterprises.

Multi-Modal Vector Search
High-Density Multi-Tenant B2B SaaS

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for high-density multi-tenant b2b saas enterprises.

High-Density Multi-Tenant B2B SaaS
Graph-Linked Vector Workloads

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for graph-linked vector workloads enterprises.

Graph-Linked Vector Workloads
Self-Hosted & Kubernetes Vector Infrastructure

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for self-hosted & kubernetes vector infrastructure enterprises.

Self-Hosted & Kubernetes Vector Infrastructure

Why StackDot for Weaviate Engineering

Hybrid Search Mastery

fine-tuning Weaviate's native hybrid search engine to maximize precision, eliminate hallucinations, and catch exact-match terminology

Proactive Vector FinOps & Quantization

lowering memory and infrastructure costs using HNSW compression, Product Quantization, and efficient multi-tenancy models

Open-Source & Cloud Deployment Freedom

flexibility to run managed Weaviate Cloud, deploy in your private cloud VPC, or run fully self-hosted open-source clusters without vendor lock-in

Seamless AI Framework Sync

connecting Weaviate seamlessly with LangChain, LlamaIndex, OpenAI, Anthropic Claude, and custom agentic frameworks

Ready to Transform Your Search Platform With Enterprise Weaviate Engineering?

Native hybrid search (BM25 + vector), multi-vector indexing, automated vectorizer modules, graph-like data relationships, and agentic retrieval workflows engineered with Weaviate Cloud, Weaviate Agents, Dynamic Tenant Isolation, and Embedded Vectorizers.