Search AI & ML Showcase

a natural language agent that connects to a SQL database, learns schema + domain context, and answers questions using a ReAct SQL loop.

It can: - Connect to any SQL database supported by SQLAlchemy - Introspect table/column schema automatically - Bootstrap a domain YAML from natural language description - Route tables/metrics and reason iteratively with grounded SQL evidence - Enforce read-only SQL validation before query execution

Automated evaluation framework for RAG pipelines

RAGAS is an open-source framework for evaluating Retrieval-Augmented Generation (RAG) pipelines. It provides reference-free metrics like faithfulness, answer relevance, and context precision using LLM-as-judge methods.

Microsoft's SDK for integrating LLMs into apps with plugins and planners

Semantic Kernel is an open-source SDK from Microsoft that orchestrates AI models with native code, enabling developers to build AI applications that combine functions, plugins, memory, and planners in C#, Python, and Java.

Microsoft's framework for multi-agent AI conversation and automation

AutoGen (by Microsoft) enables developers to create LLM applications using multiple agents that can converse, delegate tasks, and collaborate. It supports complex agent topologies including human proxy agents and code-executing agents.

Production-grade AI agent framework built by the Pydantic team

PydanticAI is a Python framework for building production AI agents with type-safe structured outputs, dependency injection, streamed responses, and seamless integration with popular LLM APIs.

The open-source AI-native embedding database

Chroma is an open-source, AI-native vector database designed for building LLM applications. It supports embedding storage and retrieval with first-class Python and JavaScript SDKs, and runs in-process for local development or as a hosted service.

Run large language models locally with one command

Ollama enables developers to run open-source LLMs locally on macOS, Linux, and Windows with a simple CLI and REST API. It manages model downloads, quantization, and GPU acceleration automatically.

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.

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.

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.

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.