Squeak-SemanticText

by hpi-swa-lab · indexed from github

ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk

Semantics (from Ancient Greek sēmantikós) refers to the significance or meaning of information. While the normal String and Text classes in Squeak take a syntactic view on text as a sequence of characters and formatting instructions, SemanticText focuses on the sense and understanding of text. With the advent of NLP (natural language processing) and LLMs (large language models), the availability of text interpretability in computing systems is expanding substantially. This package aims to make semantic context accessible in Squeak/Smalltalk by providing the following features:

Indexed · not connectedcode
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Use the MeshKore agent at https://meshkore.com/agent/hpi-swa-lab-squeak-semantictext — read its card at https://meshkore.com/agent/hpi-swa-lab-squeak-semantictext/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/hpi-swa-lab-squeak-semantictext
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hpi-swa-lab-squeak-semantictext/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

apiragdataembedding

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