Best Alternatives to NOAN in 2025

Build knowledgeable AI

Pinecone is a fully managed vector database that enables AI agents to retrieve relevant facts from company documents via semantic search. While it doesn't offer a curated 'fact layer' out of the box, it provides the infrastructure to build one, with high scalability and low latency. Teams that want more control over their fact extraction and retrieval pipelines may prefer Pinecone over NOAN's opinionated approach.

Weaviate is an open-source vector database that allows businesses to store and query facts as embeddings. It supports hybrid search and can be self-hosted, making it a good fit for organizations with data residency or customization requirements. Unlike NOAN, Weaviate doesn't provide a pre-built fact verification and versioning layer, but it offers greater flexibility for teams building their own fact layer.

Zilliz Cloud is a managed vector database built on Milvus, designed for AI applications. It enables fast similarity search over company facts, and can be integrated with AI agents via API. Teams looking for a scalable, cloud-native alternative to NOAN's fact layer might choose Zilliz Cloud, especially if they already use Milvus or need multi-modal data support.

Qdrant is an open-source vector similarity search engine with a focus on filtering and payload support. It can serve as the retrieval backbone for a fact layer, allowing AI agents to fetch verified facts based on metadata. Qdrant is a strong alternative for teams that prioritize performance, filtering capabilities, and open-source flexibility over NOAN's turnkey fact management.

Chroma is an open-source embedding database designed for AI applications. It simplifies the process of storing and retrieving facts as embeddings, and integrates well with popular AI frameworks. While it lacks NOAN's versioning and verification features, Chroma is a lightweight and developer-friendly alternative for teams building a fact layer from scratch.

LlamaIndex is a data framework for LLM applications that helps ingest, structure, and access private data. It can be used to create a fact layer by indexing company documents and providing query interfaces. Unlike NOAN, LlamaIndex is not a standalone product but a toolkit, offering more customization for teams that want to build their own fact layer with full control over the pipeline.

LangChain’s suite of products supports AI development

LangChain is a framework for developing applications powered by language models. It provides modules for document loading, vector stores, and retrieval, enabling teams to construct a fact layer for AI agents. LangChain is a flexible alternative to NOAN for developers who prefer to assemble their own fact management system using a wide ecosystem of integrations.