How Pixeltable prepared their website for AI search
Explore Pixeltable's documentation for seamless data management, product updates, and smart computed columns to enhance your data workflow.
The llms.txt for Pixeltable serves as an essential resource for understanding data insertion, query building, and the creation of user-defined functions. Readers will gain insights into effectively managing data workflows, enhancing their development processes with practical examples and comprehensive guides.
Key Insights
Focused approach
A streamlined 2-section structure keeps things simple and scannable.
Optimal length
At 50 lines, this file balances detail with AI context window efficiency.
Two-file approach
Uses both llms.txt and llms-full.txt for different AI use cases.
llms.txt Preview
First 50 lines of 50 total
# Pixeltable Documentation
## Docs
- [Product Updates](https://docs.pixeltable.com/docs/changelog/product-updates.md): Keep track of changes
- [Bringing Data](https://docs.pixeltable.com/docs/datastore/bringing-data.md): A comprehensive guide to inserting, referencing, and importing data in Pixeltable
- [Computed Columns](https://docs.pixeltable.com/docs/datastore/computed-columns.md): Computed columns combines automatic calculations with smart incremental updates. Think of them as your data workflow automated.
- [Custom Functions (UDFs)](https://docs.pixeltable.com/docs/datastore/custom-functions.md): Create and use custom functions (UDFs) in Pixeltable
- [Building Queries](https://docs.pixeltable.com/docs/datastore/filtering-and-selecting.md): Learn how to query and transform data in Pixeltable using where() and select()
- [Iterators](https://docs.pixeltable.com/docs/datastore/iterators.md): Learn about iterators for processing documents, videos, audio, and images
- [Sampling Data](https://docs.pixeltable.com/docs/datastore/sampling.md): Learn how to create representative samples from your data for analysis, testing, and machine learning.
- [Tables](https://docs.pixeltable.com/docs/datastore/tables-and-operations.md): Learn the fundamentals of Pixeltable tables, types, and how to build in Pixeltable
- [Vector Database](https://docs.pixeltable.com/docs/datastore/vector-database.md): Learn how to create, populate and query embedding indexes in Pixeltable
- [Views](https://docs.pixeltable.com/docs/datastore/views.md): Learn how to create and use virtual derived tables in Pixeltable through views
- [Evaluations](https://docs.pixeltable.com/docs/examples/chat/evals.md): Add automated quality assessment to your AI applications using LLM-based evaluation
- [Memory](https://docs.pixeltable.com/docs/examples/chat/memory.md): Build a chatbot that remembers conversation history using Pixeltable
- [Multimodal Chatbot](https://docs.pixeltable.com/docs/examples/chat/multimodal.md): Build a chat application that processes documents, videos, and audio
- [Tools](https://docs.pixeltable.com/docs/examples/chat/tools.md): Build AI agents that can invoke custom tools
- [Interactive Demos](https://docs.pixeltable.com/docs/examples/interactive-demos.md): Explore Pixeltable capabilities through interactive demos
- [Sample Applications](https://docs.pixeltable.com/docs/examples/sample-apps.md): Explore real-world applications built with Pixeltable
- [PDF](https://docs.pixeltable.com/docs/examples/search/PDF.md): Build a PDF search system using smart chunking and vector embeddings
- [Audio](https://docs.pixeltable.com/docs/examples/search/audio.md): Build an audio-to-text knowledge base with search capabilities
- [Image](https://docs.pixeltable.com/docs/examples/search/images.md): Build an image search system using OpenAI Vision and vector embeddings
- [Video](https://docs.pixeltable.com/docs/examples/search/video.md): Build a multimodal video search workflow with Pixeltable
- [Website](https://docs.pixeltable.com/docs/examples/search/website.md): Build a web content search system using smart chunking and vector embeddings
- [Use Cases](https://docs.pixeltable.com/docs/examples/use-cases.md): Explore practical applications and implementation patterns with Pixeltable
- [Label Studio](https://docs.pixeltable.com/docs/examples/vision/label-studio.md): Build annotation workflows with Pixeltable and Label Studio in two phases
- [Voxel51](https://docs.pixeltable.com/docs/examples/vision/voxel51.md): Build image analysis workflows with Pixeltable and Voxel51 in two phases
- [YOLOX Object Detection](https://docs.pixeltable.com/docs/examples/vision/yolox.md): Use YOLOX object detection in Pixeltable by defining your schema, then using it
- [Embedding Models](https://docs.pixeltable.com/docs/integrations/embedding-model.md): Learn how to integrate custom embedding models with Pixeltable
- [Ecosystem](https://docs.pixeltable.com/docs/integrations/frameworks.md): Explore Pixeltable ecosystem of built-in integrations for AI/ML workflows
- [Model Hub & Repositories](https://docs.pixeltable.com/docs/integrations/models.md): Explore pre-trained models and integrations available in Pixeltable
- [Multimodal MCP Servers](https://docs.pixeltable.com/docs/libraries/mcp.md): Extending AI capabilities with Pixeltable MCP servers
- [Pixelagent](https://docs.pixeltable.com/docs/libraries/pixelagent.md): An Agent Engineering Blueprint powered by Pixeltable
- [Pixeltable YOLOX](https://docs.pixeltable.com/docs/libraries/yolox.md): Lightweight object detection library built on PyTorch
- [Building with LLMs](https://docs.pixeltable.com/docs/overview/building-pixeltable-with-llms.md): Use LLMs in your Pixeltable integration workflow
- [Configuration](https://docs.pixeltable.com/docs/overview/configuration.md): Complete guide to configuring Pixeltable
- [Installation](https://docs.pixeltable.com/docs/overview/installation.md): Complete guide to installing and setting up Pixeltable
- [Introduction](https://docs.pixeltable.com/docs/overview/pixeltable.md): Pixeltable is a declarative data infrastructure for building multimodal AI applications, enabling incremental storage, transformation, indexing, and orchestration of data.
- [Quick Start](https://docs.pixeltable.com/docs/overview/quick-start.md): Welcome to Pixeltable! In this tutorial, we will survey how to create tables, populate them with data, and enhance them with built-in and user-defined transformations and AI operations.
- [FAQ](https://docs.pixeltable.com/docs/support/faq.md): Frequently asked questions about Pixeltable
- [Getting Help](https://docs.pixeltable.com/docs/support/getting-help.md): Connect with the Pixeltable community and find support
- [Feature Guides](https://docs.pixeltable.com/docs/tutorials/feature-guide.md): Deep dive into Pixeltable advanced capabilities and patterns
- [Fundamentals](https://docs.pixeltable.com/docs/tutorials/fundamentals.md): Learn Pixeltable core concepts and capabilities through interactive tutorials
## Optional
- [API Reference](https://pixeltable.github.io/pixeltable/)
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