Top Retrieval Augmented Generation AI tools

PromptLeo offers a GDPR-compliant Retrieval Augmented Generation (RAG) platform as a service, enabling developers to integrate conversational AI trained on their own data into products or websites.

• Freemium

Carbon enables LLMs to access unstructured data from any source. It provides a universal retrieval engine with pre-built connectors for seamless data integration.

• Usage Based
• From 85$

CodeGate is a local, open-source proxy that protects your privacy and enhances code security when using AI coding assistants. It encrypts secrets in prompts and augments LLMs with up-to-date risk insights.

• Free

Vectorize is a RAG-as-a-Service platform designed to accelerate AI application development by simplifying the process of connecting unstructured data to Large Language Models (LLMs). It automatically extracts and optimizes data from various sources for efficient vector search.

• Freemium
• From 99$

Dataworkz is a platform that enables AI teams to rapidly build, deploy, optimize, and scale GenAI applications using Retrieval Augmented Generation (RAG) without managing infrastructure.

• Freemium
• From 499$

Gorilla is an open-source Large Language Model (LLM) developed by UC Berkeley, designed to interact with a wide range of services by invoking API calls.

• Free

LlamaHub is a repository providing data loaders, agent tools, and LlamaPacks to quickly build and customize Retrieval-Augmented Generation (RAG) applications using frameworks like LlamaIndex and LangChain.

• Free

Circlemind offers an advanced Agentic GraphRAG system that intelligently adapts to specific use cases, data, and queries, providing sophisticated RAG pipelines controllable via plain English.

• Freemium
• From 300$