Vector DBs, memory layers, retrieval
The infrastructure that gives LLMs persistent memory and access to real data. Production-grade systems with active development and technical depth.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Data infrastructure for AI
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Supercharge Your LLM Application Evaluations 🚀
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Universal memory layer for AI Agents
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
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.
Zep | Examples, Integrations, & More