LlamaIndex is an open-source framework that facilitates connecting Large Language Models (LLMs) to external and private data sources. It enables developers and engineers to build LLM-powered applications with Retrieval Augmented Generation (RAG) capabilities, by indexing and querying unstructured data.
Weaviate is an open-source vector database designed to store data objects and their embedding vectors, facilitating semantic search and the creation of AI-powered applications. It is ideal for developers and data scientists who need to manage and query large volumes of unstructured data based on their contextual meaning.
Pinecone is a managed vector database designed for efficient storage and retrieval of high-dimensional embeddings. It's a foundational tool for developers and businesses building AI applications that require semantic search, recommendation systems, or Retrieval Augmented Generation (RAG).