Chroma
Open-source embedding database for AI applications with a managed cloud offering.
AI platforms are the infrastructure layer behind the AI boom: the APIs, databases, and tooling teams use to build AI features into their products. This category covers large language model APIs for text generation, chat, and embeddings; vector databases for semantic search and retrieval-augmented generation; model hosting and inference platforms that serve open and proprietary models at scale; AI agent frameworks for building autonomous workflows; and MLOps tooling for evaluation, monitoring, and fine-tuning. They are used by software engineers adding AI to existing products, startups building AI-native apps, data teams running retrieval pipelines, and enterprises deploying models with compliance controls. Pricing is typically usage-based — per token, per query, or per gigabyte — layered over tiered plans, with free tiers or credits for experimentation. When comparing options, look at model selection, latency and uptime SLAs, data privacy and retention terms, and how easily the API drops into your stack. Several leading platforms run partner or affiliate programs aimed at developers, consultants, and agencies.
Open-source embedding database for AI applications with a managed cloud offering.
Anthropic's AI platform with the Claude API, tool use, computer use and enterprise controls for building AI products.
Google Cloud's AI platform for building and deploying agents and ML models, with Gemini models and agent builder tooling.
Open platform for machine learning with hosted models, datasets, Spaces and inference endpoints for the AI community.
Open-source framework for building LLM applications with chains, agents and retrieval, plus observability via LangSmith.
Data framework for connecting LLMs to private data sources, with ingestion, indexing and retrieval for RAG applications.
Developer API platform for GPT models with chat completions, embeddings, image and audio models, and fine-tuning.
Unified API gateway providing access to hundreds of AI models from OpenAI, Anthropic, Google and others with automatic fallbacks.
Managed vector database for AI applications with serverless indexes and semantic search.
Open-source vector search engine written in Rust, with managed Qdrant Cloud for production similarity search.
Cloud platform for running open-source AI models via API with pay-per-compute pricing and no infrastructure to manage.
Cloud platform for open-source AI model inference and fine-tuning with fast GPUs and a unified API.
Open-source vector database with hybrid search, generative search and multi-modal capabilities, available self-hosted or as Weaviate Cloud.
Fully managed cloud vector database service powered by open-source Milvus, running on AWS, GCP and Azure.
Based on listings currently tracked on TechTool, Chroma leads the AI Platforms & Infrastructure category — Open-source embedding database for AI applications with a managed cloud offering. Rankings update as we verify more tools.
Yes — 4 of the 14 ai platforms & infrastructure tools we track offer a free plan or free tier. Check each listing's pricing details.
We rank by verified listing data — feature completeness, publicly stated pricing, and user ratings where available. Featured placements are marked and never affect editorial order.