The Excellence
Directory Platform Template

RAG evaluation metric measuring whether generated answers accurately align with retrieved context without hallucination, ensuring factual grounding of LLM responses.

AnythingLLM is an open-source AI application that integrates with vector databases to facilitate storage and retrieval of embeddings, supporting various AI and LLM workflows.

ChromaDB (also known as Chroma or chroma-core) is an open-source vector database focused on LLM applications, emphasizing simplicity and in-memory HNSW-based dense vector search. It is suited for prototyping, metadata filtering, and offers a user-friendly interface for building and testing vector search applications, though it currently lacks hybrid and distributed features.

Infinity is an AI-native database built for LLM applications, offering fast hybrid search of dense vectors, sparse vectors, tensors, and full-text data.

langchain4j is an open-source framework for developing LLM-powered Java applications, with built-in support for integrating vector databases as memory stores.

llm-app is an open-source project that provides an AI application framework with integrated support for vector databases, enabling the development of LLM-powered solutions.

RETA-LLM is a toolkit designed for retrieval-augmented large language models. It is directly relevant to vector databases as it involves retrieval-based methods that typically leverage vector search and vector databases to enhance language model capabilities through external knowledge retrieval.

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).