Pinecone
Developer ToolsVector database
30 hand-ranked AI tools for ml ops & infrastructure, 26 with a free plan. AI tools for ml ops & infrastructure: MLOps, Training.
Quick answer: the best AI tool for ml ops & infrastructure is Pinecone, followed by Weights & Biases and Hugging Face. Best free option: Pinecone.
Vector database
ML experiment tracking
Hub for models and datasets
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Ultrafast serverless GPU inference, sandboxes, and background jobs
Halo is an open-source framework built by White Circle for training large language and multimodal models
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
Give your AI a real, persistent memory. The open-source system plus templates that turn an Obsidian vault into your AI's working memory. No vector database, just markdown.
See what every AI coding agent on your machine is doing, and whether the API behind it is the one you paid for. Claude Code, Codex, Cursor, Gemini CLI and more: one endpoint for 44 model vendors, A–F API authenticity grading, per-agent permissions, usage and prompt records.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. #opensource
An open standard for connecting AI models to external tools and data sources. MCP Registry #opensource
An AI tool for generating publication-ready scientific figures in vector format from text descriptions or sketches.
a registry of AI tools that can be developed by anyone and used inside any AI application
General Corpus of Contemporary Brazilian Portuguese with provenance and typology information - Corpus Geral do Português Brasileiro Contemporâneo
Google Cloud’s enterprise AI platform for accessing Gemini, Imagen, Veo, Gemma, embeddings, and broader MLOps tooling.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash attention v2.
Your AI intranet: network the computers you already own for inference and training.
Python client for Antarys vector database, optimized for large-scale vector operations with built-in caching, parallel processing, and dimension validation.
This project collects GPU benchmarks from various cloud providers and compares them to fixed per token costs. Use our tool for efficient LLM GPU selections and cost-effective AI models. LLM provider price comparison, gpu benchmarks to price per token calculation, gpu benchmark table
LlamaIndex is the document processing platform for AI
Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.
VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG (Retrieval-Augmented Generation). Core search is based on Random Hyperplane LSH candidate generation with exact rerank by dot/cosine.
A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks.
On Deekoya AI, the top-ranked tool for ml ops & infrastructure right now is Pinecone: Vector database. The best choice depends on your budget and workflow, so compare the top 5 below.
Yes. Pinecone, Weights & Biases, Hugging Face, Milvus, Quivr are listed as free or freemium. Check each official site for current limits.
By Deekoya's quality score (listing completeness, verified source, official website) combined with public popularity signals such as GitHub stars and Hugging Face likes, with editor picks first. Rankings are not paid placements.