Advisor

4007 tools

Setup guides, integration stacks, and tool recommendations. Find the right tool and learn how to ship with it.

LLM Providers

Groq

LPU (Language Processing Unit) custom silicon delivers 5–10× faster token generation than GPU inference at comparable pricing — the fastest API for open-source LLMs.

Vector Databases

Chroma

Chroma stands out as an open-source vector database that offers both self-hosted and cloud deployment options, making it a flexible choice for developers looking to integrate efficient search capabilities into their AI applications.

Vector Databases

Milvus

Milvus stands out as an open-source vector database that offers high performance and scalability, making it ideal for large-scale AI applications where efficient vector data management is critical.

Databases (Core)

Neon

Neon stands out as a tool that allows developers to write safe, high-performance native Node.js modules in Rust, offering a unique blend of memory safety and speed.

Vector Databases

Qdrant

The only open-source vector database that combines high-performance Rust implementation with extended filtering support, making it ideal for complex search and recommendation systems.

Databases (Core)

Supabase

The open-source Firebase alternative with Postgres

Vector Databases

Weaviate

The only vector database that combines native multi-tenancy, automatic index optimization, and support for custom ML models at production scale.

Databases (Core)

MongoDB Atlas

The developer data platform built on MongoDB

Vector Databases

Pinecone

Pinecone stands out as a cloud-based vector database with real-time scalability and high-performance similarity search, making it ideal for applications that need fast and accurate data retrieval in real time.

Databases (Core)

Turso

SQLite for the edge — low latency, multi-tenant, globally distributed

Databases (Core)

Upstash

Serverless Redis, Kafka, and QStash — pay per request

Data Pipelines

NeMo Framework

NeMo stands out as an open-source, PyTorch-based framework offering extensive support for large language models and multimodal AI integration, making it ideal for researchers and developers working on complex generative AI projects.

Popular Stacks

Curated tool combinations that work well together. Each guide explains the integration points and common patterns.

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