Platform for building AI applications, agentic workflows, knowledge bases, and RAG pipelines with visual and API-oriented interfaces.

Framework and ecosystem for composing LLM applications, retrieval chains, tools, and agentic systems.

Data framework focused on connecting private or domain data to LLM applications through indexes, retrievers, and workflows.

Open-source framework from deepset for building search, RAG, question-answering, and agent pipelines.

RAG-oriented platform emphasizing document understanding and knowledge workflows.

Visual builder for LLM flows, agents, and RAG-style applications.

Workflow automation platform that can orchestrate AI steps, data movement, and integrations around RAG systems.

Application for local or private AI workspaces with document chat and knowledge-base features.

Self-hosted AI interface commonly used with local models and private chat workflows.

Tool for running and managing local language models, often paired with local RAG prototypes.

Vector database and similarity search engine used for semantic retrieval and metadata filtering.

Vector database with hybrid search and managed or self-hosted deployment options.

Open-source vector database designed for large-scale similarity search.

Developer-friendly embedding database commonly used for prototypes and local RAG systems.

Managed vector database service used for semantic search and RAG systems.

Search platforms that can combine keyword, vector, and hybrid search patterns for RAG retrieval.

Reranking model/API commonly used to reorder retrieved passages before generation.

AI company offering embedding, reranking, and retrieval-related models and APIs.

Document processing tooling for extracting structured content from PDFs, Office files, HTML, and other formats.

Open-source observability and tracing platform for LLM applications, including RAG pipelines.

Phoenix is an open-source observability tool associated with Arize for tracing, evaluation, and analysis of LLM applications.

Framework for evaluating RAG pipelines with metrics related to retrieval and answer quality.

Evaluation and tracking tooling for LLM applications, including feedback functions for RAG quality.