01Managed Cloud
Pinecone
Managed cloud vector database — best for teams who want zero infrastructure maintenance and production-grade SLAs.
Vector Database Setup
Production Vector Databases Built to Scale
We design, deploy, and optimize vector databases for AI production environments. From Pinecone and Weaviate to pgvector and Qdrant — configured correctly the first time, with embedding pipelines and retrieval tuning included.
Pinecone · Weaviate · Qdrant · Chroma · pgvector · Starting at $800
01Engine Index
Vector Databases We Work With
02Open Source
Weaviate
Open-source with built-in vectorization modules and hybrid search. Excellent for complex enterprise RAG systems.
03High Performance
Qdrant
High-performance Rust-based vector DB with rich filtering and payload storage. Best for speed-critical applications.
04Dev Friendly
Chroma
Lightweight, developer-friendly DB for prototyping and smaller RAG applications. Full Python integration.
05Postgres-Native
pgvector
Vector search as a PostgreSQL extension — ideal for teams already on Postgres who don't want a separate DB.
06Atlas Search
MongoDB Atlas
Vector search built into MongoDB Atlas. Best for teams with existing MongoDB infrastructure.
02Setup Sequence
Our Vector DB Setup Process
Requirements Analysis
We assess your dataset size, query patterns, latency requirements, budget, and existing infrastructure to recommend the right vector DB.
Embedding Model Selection
We select the optimal embedding model — OpenAI text-embedding-3-large, Cohere Embed, or open-source E5/BGE models — based on your domain.
Schema & Index Design
We design collection schemas, metadata fields, filtering strategies, and indexing configurations for optimal retrieval performance.
Data Ingestion Pipeline
We build the data ingestion pipeline that processes, chunks, embeds, and upserts your documents into the vector store at scale.
Retrieval Optimization
We tune similarity metrics, reranking (Cohere Rerank), hybrid search weights, and top-k values to maximize retrieval quality.
▸Get Your Free AI Audit
Set Up Your Vector Database
Tell us your AI use case and dataset size. We'll recommend the right vector DB and show you the retrieval performance you can expect.
Free consultation • No obligation • Reply within 24 hours
Location
Remote team serving US, UK, Europe & Australia
Reply Time
Within 24 hours
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