“RAG”

Open-source RAG engine with document ingestion, hybrid search and visual agent workflows.

Open-source RAG engine under Apache-2.0 with a visual agent builder, hybrid search and a data ingestion pipeline

Open-source, GPL-3.0 platform for building agents with RAG pipelines, a workflow engine and MCP tool use, run from a Docker container

Python framework for live data processing and RAG pipelines that run on a Rust engine.

Open-source platform for building AI apps, agentic workflows and RAG pipelines, available as managed cloud or self-hosted

Apache-2.0 Java platform for building AI agents and bots, with RAG knowledge bases, visual workflows and MCP tool support.

Open-source, Apache-2.0 visual tool for building AI agents, apps and workflows with plugins, knowledge bases and an API and chat SDK

Open-source, cloud-native vector database for semantic search, RAG and hybrid queries.

Guardrails, evaluation and pre-production red teaming for AI agents, RAG apps and chatbots.

Database for unstructured and multimodal data that powers AI apps and agents, with MCP support.

Open-source visual IDE for building AI agents and prompt chains as graphs that run inside your own application.

Open-source AI agent platform with a knowledge base, drag-and-drop workflows, MCP support and Docker self-hosting or a cloud service

Open-source workspace for building, deploying and governing AI agents and workflows, with 270+ integrations and self-hosting

Open-source document intelligence API that converts PDFs, Office files and images into RAG-ready chunks.

Open-source web crawler that turns pages into LLM-ready Markdown, with an optional hosted cloud API.

Enterprise platform to build, evaluate, deploy and govern AI agents, from a visual studio to SDKs and REST APIs, hosted by Lyzr or in your own cloud

Java and React platform for building and running AI apps with a visual flow editor, reusable Store items and a plugin system.

Open-source orchestration platform for data, AI and infrastructure workflows, defined in YAML.

Context layer for building AI agents that reason over technical documents and institutional knowledge.

Enterprise AI platform for managed, grounded agents that answer from your data with citations.

Open-source visual AI agent studio with drag-and-drop agent building, multi-model support and a vector-backed knowledge store.

Open-source vector database inside the OpenSearch search suite, for semantic search and RAG.

Boomi's tool for building, governing and running AI agents, with no-code agent building, governed MCP tools and agents that can run behind the firewall

Europe-hosted platform for rolling out model-agnostic chat, custom agents, workflows and an API across an organization