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Pinecone

Appears in 8 awesome lists

The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Open pinecone.io

Found in these lists

Awesome Ai Agents 2026

Section: RAG and Knowledge Bases · Managed vector DB. Serverless. Low-latency.

ActiveScore 74

Awesome Developer-First

Section: Monitoring · AI infrastructure for building accurate, secure, and scalable AI apps.

FreshScore 84

Awesome LLMOps

Section: Vector search · The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

ActiveScore 75

Awesome Machine Learning

Section: Tools · Vector database for applications that require real-time, scalable vector embedding and similarity search.

FreshScore 93

Awesome MLOps

Section: Data Management · Managed and distributed vector similarity search used with a lightweight SDK.

FreshScore 80

Awesome Startup

Section: Inference and Data Infrastructure · Managed vector database.

FreshScore 82

Awesome Vector Search

Section: Cloud Service

ActiveScore 73

Indie Hacker Tools Plus

Section: 数据库与存储 (Database & Vector)

FreshScore 86

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

Langfuse

LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents. (Demo, Source Code, Clients) MIT Docker

In 10 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

txtai

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

In 9 listsDetails

Qdrant

Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud

In 8 listsDetails

Pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Features 350+ connectors with always-in-sync data from SharePoint, Google Drive, S3, Kafka, PostgreSQL and more. BSL 1.1 license (becomes Apache 2.0 after 4 years).

In 8 listsDetails

Chroma

An open-source embedding database for building AI applications with embeddings and semantic search.

In 8 listsDetails