Search AI & ML Showcase

Cloud-native open-source vector database built for scale

Milvus is an open-source cloud-native vector database built for billion-scale similarity search. It supports multiple index types, GPU acceleration, and a distributed architecture for enterprise-grade AI retrieval workloads.

NVIDIA's open-source toolkit for safe, trustworthy conversational AI

NeMo Guardrails (by NVIDIA) is an open-source toolkit for adding programmable guardrails to LLM-based conversational systems. It enables developers to define topical, safety, and dialog-flow rails in a declarative Colang language.

Open-source vector database with hybrid search and GraphQL API

Weaviate is an open-source vector database that combines vector and keyword search (BM25) for hybrid search. It supports multimodal data, automatic vectorization via modules, and integrates directly with OpenAI, Cohere, and Hugging Face.

Build stateful, multi-actor AI agent applications with graph-based workflows

LangGraph is an open-source framework for building stateful, multi-actor applications using LLMs. It models agent workflows as directed graphs, enabling complex control flows, human-in-the-loop patterns, and persistent state for production agents.

Open-source LLM observability, tracing, and evaluation platform

Langfuse is an open-source platform for LLM application observability. It provides traces, spans, scores, and evals for debugging and monitoring LLM pipelines, with SDKs for Python and JavaScript and integrations with LangChain, LlamaIndex, and more.

Open-source MLOps platform for the full ML lifecycle

MLflow is an open-source platform for managing the complete machine learning lifecycle including experiment tracking, model packaging, model registry, and deployment. Widely adopted across data science and ML engineering teams.

OpenTelemetry-compatible tracing standard for AI/LLM applications

OpenInference is an open standard for capturing AI model observability data using OpenTelemetry. It enables vendor-neutral tracing of LLM calls, embeddings, and retrieval operations across any observability backend.

Git for data — version control for ML data, models, and pipelines

DVC (Data Version Control) is an open-source ML experiment and data versioning tool built on top of Git. It enables reproducible ML pipelines, tracks datasets and models alongside code, and integrates with all major cloud storage providers.

Open-source AI observability and evaluation for LLMs and ML models

Phoenix by Arize is an open-source AI observability platform that provides real-time tracing, evaluation datasets, and retrieval analysis for LLM and ML applications. Runs locally or on cloud infrastructure.

High-performance vector database with rich filtering for production AI

Qdrant is an open-source vector similarity search engine built in Rust. It supports dense and sparse vectors, rich payload filtering, named vectors, and advanced quantization — designed for high-throughput production AI workloads.

Modern workflow orchestration for data and ML pipelines

Prefect is an open-source workflow orchestration platform for data engineering and ML pipelines. It provides observability, scheduling, and retry logic for Python workflows with a hybrid execution model.

Up to 5x faster, 80% less memory LLM fine-tuning

Unsloth makes LLM fine-tuning up to 5× faster and uses up to 80% less GPU memory by using custom CUDA kernels and optimized training paths. Compatible with Hugging Face ecosystem, LoRA, QLoRA, and popular base models.