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Weaviate

Appears in 8 awesome lists

An open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

Open github.comweaviate/weaviate

Found in these lists

Awesome Ai Agents 2026

Section: RAG and Knowledge Bases · OSS vector DB. GraphQL. Multi-modal search.

ActiveScore 74

Awesome GraphQL

Section: Databases & Data Platforms · Open-source vector database combining vector search, structured filtering, and a GraphQL interface.

FreshScore 92

Awesome Open Source AI

Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · GraphQL-native vector search engine.

FreshScore 89

Awesome Ops

Section: vector-database · Weaviate是一个开源的向量数据库,可以存储对象和向量,允许将向量搜索与结构化过滤相结合,并具有云原生数据库的容错性和可伸缩性。

ActiveScore 79

Awesome Production Machine Learning

Section: Data Storage Optimisation · A low-latency vector search engine (GraphQL, RESTful) with out-of-the-box support for different media types. Modules include Semantic Search, Q&A, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more.

FreshScore 92

Sponsors

Section: Embeddings/Vector Databases · An open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

ActiveScore 78

awesome-chatgpt

Section: Vector Database

StaleScore 52

awesome-go

Section: Other · Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

FreshScore 81

LlamaIndex

(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.

In 14 listsDetails

Milvus

Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.

In 14 listsDetails

Mem0

Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin

In 13 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

MarkItDown

Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.

In 9 listsDetails

Infinity

AI-native database built for LLM applications with incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. Powers RAGFlow's document engine. Apache 2.0 licensed.

In 9 listsDetails

DocsGPT

Private AI platform for building intelligent agents and assistants with enterprise search. Features Agent Builder, deep research tools, multi-format document analysis, and multi-model support. MIT licensed.

In 10 listsDetails

txtai

All-in-one AI framework for semantic search, LLM orchestration and language model workflows. Embeddings database with customizable pipelines.

In 9 listsDetails