Retrieval-Augmented Generation (RAG)

17 enterprise products in the directory are classified under Retrieval-Augmented Generation (RAG). Compare them below, or open the full directory to filter by your whole stack.

• Amazon Bedrock

  Amazon Web Services (AWS)

  Amazon Bedrock offers a comprehensive suite of AI and machine learning services, including Generative AI capabilities. AWS emphasizes providing scalable and cost-effective AI solutions for businesses of all sizes. Their…

• Infobase

  Copy.ai

  A centralized repository for company information to inform and guide AI content generation.

• AI Agents

  Dataiku

  Build and deploy AI agents grounded in enterprise data, pipelines, and models for automated reasoning and task execution.

• Glean AI-Powered Search

  Glean

  Glean provides an AI-powered search and knowledge discovery platform for the modern workplace. Slack provides a collaboration and communication platform for teams. The native application integration enables employees to…

• Glean Assistant

  Glean

  A personalized AI assistant that helps employees find and summarize information across connected systems, adapting to user behavior.

• Graphwise GraphRAG

  Graphwise

  A context-aware retrieval workflow engine that forces GenAI to answer exclusively from verified graph data.

• Index

  LlamaIndex

  Enterprise-grade chunking and embedding pipeline built for precision and relevance in retrieval-augmented generation (RAG) calls.

• LlamaIndex OSS

  LlamaIndex

  Open-source framework for building context-aware AI agents and workflows using RAG pipelines.

• Enterprise Search

  Moveworks

  Provides employees with instant access to information across all business systems, acting as a unified knowledge base.

• GenAI Hub

  Persistent Systems

  A hub for orchestrating generative AI across enterprises, facilitating the adoption and deployment of AI solutions for various business needs.

• Inference API

  Pinecone

  Enables programmatic interaction for generating vector embeddings and reranking results using Pinecone's hosted models, supporting both standalone use and integration.

• Pinecone Vector Database

  Pinecone

  A fully managed, cloud-native vector database for building scalable AI applications, offering fast storage, indexing, and semantic search of high-dimensional embeddings.

• Redis for AI

  Redis

  Provides tools and capabilities for building and deploying AI applications, including LLM memory and semantic caching.

• Vector Search

  SingleStore

  Integrated vector search capabilities for building AI applications, enabling sub-second similarity queries across billions of embeddings.

• Knowledge Graph

  Writer

  A system that connects diverse business data sources to LLMs, enhancing accuracy and reducing hallucinations in AI outputs.

• Haystack

  deepset

  An open-source Python framework for building production-ready AI agents and applications with large language models.

• Retrieval Augmented Generation (RAG)

  deepset

  Build accurate, trustworthy AI experiences by grounding LLMs in enterprise knowledge with high-quality indexing and retrieval.