Awesome Ai Agents 2026
Section: RAG and Knowledge Bases · OSS vector DB. GraphQL. Multi-modal search.
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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.
Section: RAG and Knowledge Bases · OSS vector DB. GraphQL. Multi-modal search.
Section: Databases & Data Platforms · Open-source vector database combining vector search, structured filtering, and a GraphQL interface.
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · GraphQL-native vector search engine.
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。
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.
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.
Section: Vector Database
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.
(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.
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
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
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,…
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.
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.