# KX Product Documentation # Placed at: https://code.kx.com/llms.txt # Updated: 2026-04-10 > code.kx.com is the official documentation hub for all KX products, including KDB-X (next-generation kdb+ ecosystem), kdb+/q (high-performance time-series database and vector programming language), PyKX (Python interface to kdb+), KDB.AI (vector database for AI), kdb Insights SDK (cloud-native microservices platform), kdb Insights Enterprise (managed enterprise deployment), KX Analyst, KX Developer, VS Code Extension, KX Delta Platform, KX Refinery, and Accelerators. > For AI tools with large context windows, see [llms-full.txt](/llms-full.txt) which contains all documentation in a single file. ## KDB-X - [KDB-X Overview](https://code.kx.com/kdb-x/index.html): Next-generation kdb+ ecosystem for real-time, data-intensive, and AI-driven applications. Built on kdb+ and the q language. - [About KDB-X](https://code.kx.com/kdb-x/get_started/kdb-x-get-started.html): What KDB-X is and how it extends kdb+. - [Install KDB-X](https://code.kx.com/kdb-x/get_started/kdb-x-install.html): Installation guide. - [Install KDB-X Python](https://code.kx.com/kdb-x/get_started/kdb-x-python-install.html): Python interface installation. - [Guides Overview](https://code.kx.com/kdb-x/learn/overview.html): How-to guides for KDB-X. - [Reference Card](https://code.kx.com/kdb-x/ref/index.html): Full q and KDB-X language reference. - [AI Libraries Overview](https://code.kx.com/kdb-x/ref/ai-libs/ai-libraries-overview.html): Built-in vector search, time-series search, and anomaly detection. - [Modules Overview](https://code.kx.com/kdb-x/modules/module-index.html): Parquet, SQL, Object Storage, REST Server, Kurl, AI Libraries, and open-source modules. - [MCP Server Integration](https://code.kx.com/kdb-x/integrations/mcp-server.html): Model Context Protocol server for AI agents. - [PG Wire / Postgres SQL Interface](https://code.kx.com/kdb-x/integrations/pgwire/introduction.html): Connect Postgres-compatible clients to KDB-X. - [KDB-X Python Overview](https://code.kx.com/kdb-x/learn/kdb-x-python-overview.html): Python interface for KDB-X. - [KDB-X Roadmap](https://code.kx.com/kdb-x/releases/kdb-x-roadmap.html): Upcoming features and release plan. - [Release Notes](https://code.kx.com/kdb-x/releases/release-notes-latest.html): Latest KDB-X release notes. - [Migrate from PyKX to KDB-X Python](https://code.kx.com/kdb-x/releases/kdb-x-python-migration-from-pykx.html): Migration guide. ## kdb+ and q - [kdb+ and q Overview](https://code.kx.com/q): High-performance time-series columnar database, in-memory compute engine, realtime streaming processor, and q programming language. - [Install kdb+](https://code.kx.com/q/learn/install/): Installation guide. - [Learn q Overview](https://code.kx.com/q/learn/): Learning pathway. - [Q Reference Card](https://code.kx.com/q/ref/): Complete language reference. - [Datatypes](https://code.kx.com/q/basics/datatypes/): All kdb+ datatypes. - [qSQL Queries](https://code.kx.com/q/basics/qsql/): select, exec, update, delete syntax. - [Joins](https://code.kx.com/q/basics/joins/): aj, ij, lj, pj, uj, wj and variants. - [Iterators](https://code.kx.com/q/ref/iterators/): each, over, scan, peach. - [IPC Overview](https://code.kx.com/q/basics/ipc/): Interprocess communication. - [Namespaces (.Q, .z, .h, .j)](https://code.kx.com/q/basics/namespaces/): Built-in utility namespaces. - [Database / Partitioned Tables](https://code.kx.com/q/kb/partition/): On-disk partitioned table structure. - [kdb+tick Architecture](https://code.kx.com/q/architecture/): Realtime streaming architecture. - [WebSockets](https://code.kx.com/q/kb/websockets/): WebSocket support. - [SSL/TLS](https://code.kx.com/q/kb/ssl/): Secure connections. - [C API Reference](https://code.kx.com/q/interfaces/capiref/): C/C++ API. - [Python / Java / R / Rust Interfaces](https://code.kx.com/q/interfaces/): All language client libraries. - [Cloud Deployment (AWS/Azure/GCP)](https://code.kx.com/q/cloud/): Reference architectures. - [White Papers](https://code.kx.com/q/wp/): In-depth technical papers. - [Release Notes History](https://code.kx.com/q/releases/): All kdb+ version changelogs. - [Q for Mortals 3](https://code.kx.com/q4m3/): Comprehensive q textbook. ## PyKX - [PyKX Documentation](https://code.kx.com/pykx/3.1/index.html): Python-first interface to kdb+ and q. - [Install PyKX](https://code.kx.com/pykx/3.1/getting-started/installing.html): Installation. - [Quickstart](https://code.kx.com/pykx/3.1/getting-started/quickstart.html): First steps. - [Modes of Operation](https://code.kx.com/pykx/3.1/user-guide/advanced/modes.html): Licensed vs unlicensed mode. - [Query with Python / SQL / q](https://code.kx.com/pykx/3.1/user-guide/fundamentals/query/index.html): Querying overview. - [IPC Communication](https://code.kx.com/pykx/3.1/user-guide/advanced/ipc.html): Connect to remote kdb+ processes. - [Real-time Streaming](https://code.kx.com/pykx/3.1/user-guide/advanced/streaming/index.html): Tickerplant integration from Python. - [Pandas-like API](https://code.kx.com/pykx/3.1/user-guide/advanced/Pandas_API.html): DataFrame-style operations. - [NumPy / Streamlit Integrations](https://code.kx.com/pykx/3.1/user-guide/advanced/numpy.html): Ecosystem integrations. - [PyKX Under q](https://code.kx.com/pykx/3.1/pykx-under-q/intro.html): Embed Python inside a q process. - [API Reference](https://code.kx.com/pykx/3.1/api/pykx-execution/q.html): Full Python API surface. - [Changelog](https://code.kx.com/pykx/3.1/release-notes/changelog.html): Release notes. - [2.x to 3.x Upgrade Guide](https://code.kx.com/pykx/3.1/upgrades/2030.html): Migration guide. ## KDB.AI - [KDB.AI Overview](https://code.kx.com/kdbai/latest/index.html): Vector database and search engine for AI applications. - [Server Setup](https://code.kx.com/kdbai/latest/gettingStarted/kdb-ai-server-setup.html): Install and configure KDB.AI Server. - [Quickstart](https://code.kx.com/kdbai/latest/gettingStarted/quickstart.html): Quick start guide. - [Indexes](https://code.kx.com/kdbai/latest/reference/index.html): qFlat, qHNSW, qIVF and other index types. - [Similarity Metrics](https://code.kx.com/kdbai/latest/reference/metrics.html): L2, inner product, cosine. - [Hybrid Search](https://code.kx.com/kdbai/latest/reference/hybrid.html): Combine vector and scalar search. - [Time-Series Similarity Search](https://code.kx.com/kdbai/latest/reference/transformed-tss.html): TSS and DTW search. - [Python / q / REST API References](https://code.kx.com/kdbai/latest/reference/python-client.html): All API references. - [LangChain / LlamaIndex / OpenAI Integrations](https://code.kx.com/kdbai/latest/integrations/allintegrations.html): AI framework integrations. - [MCP Server](https://code.kx.com/kdbai/latest/integrations/mcp-server.html): Model Context Protocol server. - [Release Notes](https://code.kx.com/kdbai/latest/releaseNotes/release-notes-latest.html): Latest release notes. ## kdb Insights SDK (v1.18) - [kdb Insights SDK Overview](https://code.kx.com/insights/1.18/microservices/index.html): Cloud-native SQL-enabled kdb platform composed of Core, Stream Processor, Database, and Reliable Transport. - [kdb Insights Core](https://code.kx.com/insights/1.18/core/index.html): High-performance time-series analytics in the cloud; SQL support, object storage, packaging, REST API. - [SQL Reference](https://code.kx.com/insights/1.18/core/sql.html): SQL operators, functions, select statements, ANSI compliance. - [Postgres SQL Interface](https://code.kx.com/insights/1.18/core/pgwire.html): Connect Postgres-compatible tools. - [Object Storage](https://code.kx.com/insights/1.18/core/objstor/main.html): Cloud object storage integration. - [Stream Processor](https://code.kx.com/insights/1.18/microservices/stream-processor/index.html): High-performance scalable event-stream processing in q. - [Database Microservice](https://code.kx.com/insights/1.18/microservices/database/index.html): Fault-tolerant database with tiered storage. - [Reliable Transport (RT)](https://code.kx.com/insights/1.18/microservices/rt/index.html): Guaranteed message delivery microservice; C, Java, Python, q, C# SDKs. - [User Defined Analytics (UDAs)](https://code.kx.com/insights/1.18/microservices/database/configuration/uda/uda-overview-introduction.html): Custom analytics deployed into the database. - [APIs Overview](https://code.kx.com/insights/1.18/api/index.html): All REST, query, packaging, streaming, and ML APIs. - [kdb Insights Python API](https://code.kx.com/insights/1.18/api/kxi-python/index.html): Publish, subscribe, and query from Python. - [Google BigQuery Integration](https://code.kx.com/insights/1.18/core/big-query/intro.html): Query BigQuery from kdb Insights. - [SDK Release Notes](https://code.kx.com/insights/1.18/microservices/release-notes/latest.html): Latest SDK release notes. ## kdb Insights Enterprise (v1.18) - [Enterprise Overview](https://code.kx.com/insights/1.18/enterprise/index.html): Managed enterprise deployment of kdb Insights on Kubernetes. - [Architecture](https://code.kx.com/insights/1.18/enterprise/architecture.html): Component and deployment architecture. - [Deployment Options](https://code.kx.com/insights/1.18/enterprise/getting-started/index.html): Standalone, cloud-managed, and on-prem K8s/OpenShift options. - [Deploy on AWS / Azure / GCP](https://code.kx.com/insights/1.18/enterprise/infrastructure/standalone/index.html): Terraform-based deployment guides. - [Web Interface Guide](https://code.kx.com/insights/1.18/enterprise/user-interface/index.html): Using the built-in browser UI. - [Pipeline Operators](https://code.kx.com/insights/1.18/enterprise/ingest/pipeline/operators/index.html): Readers, decoders, transforms, writers, ML operators. - [Query APIs](https://code.kx.com/insights/1.18/enterprise/analysis/queryapi.html): REST and QIPC query interface. - [KDB-X Workloads](https://code.kx.com/insights/1.18/enterprise/workloads/index.html): Run KDB-X workloads within Enterprise. - [Entitlements](https://code.kx.com/insights/1.18/enterprise/entitlements/index.html): Data and row-level access control. - [Packaging](https://code.kx.com/insights/1.18/enterprise/packaging/index.html): Package-based deployment of databases and pipelines. - [CLI Reference](https://code.kx.com/insights/1.18/enterprise/kxi-cli/cli.html): kxi command-line interface. - [Monitoring and Observability](https://code.kx.com/insights/1.18/enterprise/monitoring/index.html): Prometheus metrics, Grafana dashboards, logging. - [Power BI Connector](https://code.kx.com/insights/1.18/enterprise/integrations/powerbi/powerbi-import.html): Connect Power BI to kdb Insights Enterprise. - [Enterprise Release Notes](https://code.kx.com/insights/1.18/enterprise/release-notes/latest.html): Latest Enterprise release notes. ## KX Tools - [KX Developer](https://code.kx.com/developer/): Free graphical IDE for kdb+/q development. - [KX Analyst](https://code.kx.com/analyst/): Analytics and data exploration tool. - [VS Code Extension](https://code.kx.com/vscode/): kdb+ language support for Visual Studio Code. - [KX Delta Platform](https://code.kx.com/platform/): Event-driven streaming and analytics platform. - [KX Refinery](https://code.kx.com/refinery/): Data quality and transformation product. - [Accelerators](https://code.kx.com/accelerators/): Pre-built industry accelerators. ## Product Information & Support - [Product Licensing](https://code.kx.com/insights/licensing/index.html): Licensing overview for all KX products. - [Product Lifecycle](https://code.kx.com/insights/licensing/product-lifecycle.html): Support and EOL policy. - [KX Academy](https://learninghub.kx.com/): Official training courses. - [KX Support Portal](https://kx.com/software-support): Raise support tickets. - [KX Slack Community](https://kx.com/slack): Community discussion.