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LlamaIndex is a data framework for large language model (LLM) applications, providing tools to ingest, structure, and access private or domain-specific data, often integrating with vector databases for retrieval augmented generation (RAG).

A course focused on mastering multimodal Retrieval Augmented Generation (RAG) and embeddings, which are fundamental components often stored and managed by vector databases.

A framework for performing Retrieval-Augmented Generation (RAG) evaluation, supporting multiple ways of validating results.

A critical emerging technology focused on processing, storing, and retrieving vast amounts of high-dimensional vector data rapidly and efficiently. Unlike traditional databases, they offer unique advantages for use cases such as image and video recognition, natural language processing (NLP), and Retrieval-Augmented Generation (RAG).

HelixDB is a powerful, open-source graph-vector database built in Rust, designed for intelligent data storage for Retrieval-Augmented Generation (RAG) and AI applications. It combines graph database features with vector search, making it directly relevant to AI and machine learning workflows that require vector data management.

Trieve provides an all-in-one infrastructure for vector search, recommendations, retrieval-augmented generation (RAG), and analytics, accessible via API for seamless integration.

LangChain is an open-source framework that integrates with various vector databases, including Pinecone, Weaviate, and Chroma, to facilitate retrieval-augmented generation (RAG) and advanced AI workflows.

Neo4j is a graph database that has added vector search capabilities, providing unique and effective approaches for retrieval augmented generation (RAG) and other AI applications.

Qdrant is a dedicated vector database and similarity search engine supporting advanced filtering and efficient retrieval, suitable for faceted search and retrieval-augmented generation. It offers self-hosted and cloud deployment options, making it highly relevant for vector search applications.