ai-searching-docs

Name: ai-searching-docs
Rating: 5 (6 reviews)
Author: lebsral

Build AI that searches your documents and answers questions. Use when building a knowledge base, help center Q&A, chatting with documents, answering questions from a database, search-and-answer over internal docs, customer support bot, or FAQ system. Also use when embedding search loses critical context, retrieval returns irrelevant results, the right document is buried deep in search results, RAG

6stars

Updated last month

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How to add

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

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Build AI-Powered Document Search

Guide the user through building an AI that searches documents and answers questions accurately. Uses DSPy's RAG (retrieval-augmented generation) pattern — retrieve relevant passages, then generate an answer grounded in them.

Step 0: Load your data

If you have documents in files, databases, or SaaS tools, use LangChain's document loaders to get them into a standard format before building your search pipeline.

LangChain document loaders

from

[Description truncada. Veja o README completo no GitHub.]

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