DISCOVER THE FUTURE OF AI AGENTS

All Projects

8 projects

Memgraph

A high-performance in-memory graph database for GraphRAG and real-time graph analytics, featuring built-in vector indexes and the MAGE algorithm library.

Large Language ModelsAI AgentsRAG

MindsDB

Query Engine for AI Analytics that builds self-reasoning AI agents across 200+ data sources using SQL.

Model & Inference FrameworkRAGModel Context Protocol

Spice.ai

A portable accelerated SQL query, search, and LLM inference engine unifying data federation and AI gateway, built for data-driven AI applications and agents.

Model & Inference FrameworkRAGModel Context Protocol

Semantica

A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.

OtherSDKLarge Language Models

DeepSeek

An LLM-powered retrieval engine designed to process extensive sources to collect comprehensive entity information, generating enriched tabular results rather than traditional research reports or answers.

Agent & ToolingTypeScriptPython

INSIGHT

An autonomous AI system that can conduct medical research, including literature retrieval, data analysis, result summarization, and hypothesis generation.

Agent & ToolingPythonLangChain

Vanna

Vanna is an open-source Python framework that generates accurate SQL queries from natural language questions using Large Language Models (LLMs) and RAG. Version 2.0 introduces enterprise-grade features like user-aware security, row-level permissions, and a pre-built, customizable web UI component that streams tables, charts, and insights in real-time.

Agent & ToolingPythonFastAPI

LangExtract

LangExtract is a Python library that leverages Large Language Models (LLMs) to extract structured information from unstructured text. It is optimized for long documents, features precise source grounding to map extractions back to their origin, and generates interactive visualizations for easy verification.

Agent & ToolingPythonLarge Language Models
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