AI & ML Showcase

Graph-based RAG that extracts knowledge graphs for better retrieval

GraphRAG is an open-source framework from Microsoft Research that uses LLMs to extract entities and relationships into a knowledge graph, enabling global reasoning over large document corpora that traditional RAG cannot handle.

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.

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.

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 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.

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 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.

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.

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.

Open-source vector similarity extension for PostgreSQL

pgvector adds vector similarity search to PostgreSQL with support for exact and approximate nearest neighbor search. It enables teams to store embeddings alongside relational data without a separate vector database.

Open-source LLM evaluation framework for CI/CD pipelines

DeepEval is an open-source evaluation framework for testing and monitoring LLM applications. It provides 14+ evaluation metrics, integrates with pytest, and enables continuous LLM quality testing in CI/CD workflows.