skills.rest
lebsral
lebsralCOMMUNITY
Explore all skills by this author →
GitHub

ai-searching-docs

Builds a DSPy search-and-answer pipeline for grounded document retrieval and question answering.

11|1|Updated Feb 8, 2026
Search Tags:#embeddings#rag#search#retrieval#docs#knowledge-base#dspy
One-click install
npx skills add https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-searching-docs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-searching-docs
Source: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/tree/main/skills/ai-searching-docs
Command: npx skills add https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-searching-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build AI-powered document search to locate relevant passages and answer questions from large document collections.

Core Features & Use Cases

  • Retrieval-grounded QA over documents (knowledge bases, help centers, FAQs)
  • Support for multiple data sources (PDFs, webpages, databases, text)
  • DSPy-based pipeline wiring for retrieval, grounding, and answer generation

Quick Start

Use DSPy to build an AI that searches documents and answers questions grounded in retrieved passages.

Frequently Asked Questions about ai-searching-docs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a RAG pipeline to answer questions from my knowledge base?▼

To build a RAG pipeline for your knowledge base, this Skill uses DSPy to wire a retriever with a language model, retrieving relevant passages and producing grounded, citation-ready responses.

What's the best way to search across PDFs and text files for specific answers?▼

Searching across PDFs and text files is handled by an AI search-and-answer pipeline that retrieves relevant passages from these sources and grounds answers directly in the extracted text.

Can I use DSPy to ground answers in retrieved documents?▼

Yes, you can use DSPy to ground answers in retrieved documents, as this Skill wires a DSPy retriever with a language model to fetch passages and produce grounded, citation-ready responses.

Does this approach work for customer support bots and internal FAQs?▼

Yes, this retrieval-grounded QA approach works for customer support bots and internal FAQs by wiring a DSPy retriever with a language model to answer questions from document collections.

How do I generate citation-ready responses from a help center database?▼

To generate citation-ready responses from a help center database, this Skill retrieves relevant passages using an AI search pipeline and grounds the language model's answers in them.

Related Skills

Explore More Content & Communication Skills→
christian-bromannchristian-bromann
3

langchain-document-loaders

Load diverse document sources into LangChain Document objects for RAG pipelines.

Community
Intermediate
team-telnyxteam-telnyx
3

push-notification-tester

Test VoIP push notification delivery for iOS and Android via APNs and FCM.

Official
Intermediate
TwuanMinnTwuanMinn

rag-engineer

Design and optimize Retrieval-Augmented Generation pipelines with embeddings and vector stores.

Community
Advanced
ArogyaReddyArogyaReddy

hybrid-search-implementation

Combine vector similarity and keyword matching with RRF, Linear, Cross-encoder, or Cascade fusion.

Community
Advanced