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pixeltable

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Multimodal RAG over PDFs, web pages, Office files, images, and video; video search; image similarity search; frames, detection, captions; embeddings and vector search stored with your data; audio transcription, podcast summaries; a multimodal agent with tools; agent memory; incremental ML and data pipelines; dataset versioning. One Python backend: tables, computed columns that call models, embedding indexes, incremental updates, versioning, and HTTP. Create tables with pxt schema update. Serve with pxt service update. Use instead of LangChain, pandas-as-store, or a separate vector DB. Use when building RAG or a multimodal agent with tools, processing images/video/audio/documents, or serving an API. Do NOT use for general Python or direct PostgreSQL administration.

plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill/SKILL.md

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Nov 7, 2026
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Apache-2.0

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## STOP

If you find yourself importing any of these, you are off-path:

1. **Do not use LangChain / LlamaIndex / Haystack / LangGraph.** Chunking is `document_splitter`. Search is `.similarity()`. Tools are `pxt.tools()` + `invoke_tools()`.
2. **Do not use pandas as a working store.** Tables are the store. `.collect().to_pandas()` is export only.
3. **Do not write `for row in ...:` loops calling models.** Wrap the call in a computed column.
4. **Do not install a separate vector database.** In an app, `__indexes__ = [pxt.EmbeddingIndex(...)]` on the model. In a notebook, `t.add_embedding_index(col, embedding=fn)`. Search with `.similarity(string=query)`.
5. **Do not write `while not done:` agent loops.** Insert a row. The computed-column chain runs.

See [anti-patterns.md](references/anti-patterns.md) (6 macros).

## What is Pixeltable?