Vectorized Context Store

Vectorize is a modular AI platform for building, deploying, and managing intelligent agents with persistent memory. It offers end‑to‑end context engineering, data connectors, automated pipelines, semantic search, and enterprise security for reliable RAG solutions.

SvectorDB is a serverless AWS vector database that supports instant upserts, deletions, and hybrid vector‑Lucene searches. It offers built‑in text and image vectorizers, custom embedding import, and scales to one million records per database.

Zilliz Cloud is a fully managed Milvus-based vector database offering billion-scale similarity search, multi-cloud serverless and distributed clusters, SDKs and APIs, embedding pipelines, AUTOINDEX/Cardinal acceleration, RBAC and observability for RAG, semantic search, and recommender systems.

Supermemory unifies user profiling, a vector memory graph, and rapid retrieval into a single API, extracting PDFs, web pages, images, and syncing from Notion, Slack, Google Drive, Gmail, S3. It integrates via TypeScript, Python, or REST.

OpenViking is an open-source contextual database that organizes agent memory, resources and code into a file-system

Pieces stores and organizes work‑related context—code, docs, chats—within familiar tools, creating OS‑level long‑term memory. It supports real‑time LLM context via local plugins, letting users keep data on‑device or sync to a chosen cloud, aiding continuity for teams.

Zvec is an in-process vector database that delivers millisecond semantic search at billion-vector scale inside applications without external services, supporting dense/sparse and multi-vector queries, filtered and grouped search, plus a compact Python API for embedding storage and retrieval.

FLUX Context is an AI image and video generation platform that integrates multiple models for tasks like text-to-image, inpainting, and text-to-video. It enables precise editing with features for object modification, style transfer, and OCR-based text editing, streamlining workflows for professional

Infinity is an AI‑native database offering hybrid search across dense/sparse embeddings, tensors, and full‑text with optional RRF, weighted‑sum, or ColBERT reranking. It delivers 0.1 ms latency, 15 k qps, supports strings, numerics, and vectors for LLM developers, data scientists, and AI engineers.

MyScale is a SQL-native vector database combining MSTG vector indexes (configurable metrics) and BM25 full-text search for semantic and lexical retrieval, supporting SQL–vector joins, metadata filtering, fast ingestion, observability, SDK integrations, and SQL-based RBAC.

VectorShift is a no‑code AI platform that lets users build AI applications with drag‑and‑drop components. It handles JSON, CSV, PDF inputs, connects to LLM APIs and enterprise services, and provides an SDK for code‑based workflows.

TiDB is an AI tool designed for efficient database management, featuring knowledge graph-based retrieval, serverless vector storage, foreign key support, and vector search, catering to developers and data analysts for enhanced data operations.

Spice AI is an open‑source platform that fuses SQL federation with hybrid vector, full‑text, and keyword search, enabling unified queries across databases and lakes. It supports local or hosted LLM inference, real‑time change capture, and secure sandboxed AI serving.

Kanwas is a shared context board designed for teams and agents, streamlining product thinking and execution by centralizing information and facilitating collaborative decision-making.

Context is an AI office suite that boosts productivity by automating document generation, simplifying financial modeling with natural language, and enhancing data visualization. It integrates with over 100 platforms for streamlined workflows and insights.

ContextClue transforms CAD, PDF, ERP and planning files into queryable knowledge graphs, enabling semantic search and automated generation of SOPs, compliance reports, and digital‑twin data. Ideal for manufacturing, R&D, and maintenance teams to streamline specification access and part reuse.

Vector DB Comparison is an open‑source tool that lets developers evaluate vector databases side‑by‑side. It lists vendor, model support, hybrid and geo‑search, BM25, full‑text, image, structured, RAG, recommendation features, and offers sorting, filtering, pinning, community notes on APIs, licenses,

Kontext performs instruction-based AI image editing and generation, enabling context-aware, localized edits that preserve composition and character identity, supports multi-turn iterative workflows for visual consistency, and offers model variants with cloud processing and API integration.

Compresr is an open-source context-compression library for LLM pipelines and agents, offering coarse chunk selection and fine-grained token-level compression to shrink conversation history, documents, and tool outputs—reducing inference latency and token costs while preserving task accuracy.