skills.rest
Qventu
QventuOFFICIAL
Explore all skills by this author →
GitHub

exulu-context-retrieval

Retrieve information from ExuluContext tables using hybrid PostgreSQL search.

2|Updated May 21, 2025
Search Tags:#context#postgresql#vectorization#pgvector#retrieve#hybrid-search#fts
One-click install
npx skills add https://github.com/Qventu/exulu-backend --skill exulu-context-retrieval
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exulu-context-retrieval
Source: https://github.com/Qventu/exulu-backend/tree/main/exulu-context-retrieval-backup
Command: npx skills add https://github.com/Qventu/exulu-backend --skill exulu-context-retrieval

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables fast, accurate retrieval of information from ExuluContext tables by combining structured item metadata search with semantic content search, reducing manual querying and data wrangling.

Core Features & Use Cases

  • Hybrid search across items and chunks using both full-text search (FTS) and vector embeddings for high-quality results.
  • Vectorize user queries with the vectorize.ts script to produce a PostgreSQL vector expression for semantic matching.
  • Use cases include locating specific documents or data items, counting results, and extracting contextual information across contexts.

Quick Start

Run the vectorize.ts script with your query and the target context to generate a vector expression for downstream SQL-based retrieval.

Frequently Asked Questions about exulu-context-retrieval

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

FAQPage Schema
How do I perform hybrid search across PostgreSQL metadata and content chunks?▼

Hybrid search in PostgreSQL is achieved by combining full-text search on item metadata with vector embeddings on content chunks. This Skill structures intelligent queries to retrieve and analyze contextual data across ExuluContext tables.

Do I need pgvector support to retrieve context from ExuluContext tables?▼

Yes, pgvector support is required. The Skill relies on a PostgreSQL database with pgvector to generate vector expressions for semantic matching and to execute hybrid retrieval queries across your stored contexts.

What is the best way to vectorize user queries for semantic matching in PostgreSQL?▼

Vectorizing user queries for semantic matching is handled by the vectorize.ts script. You run this script with your target query and context to generate a PostgreSQL vector expression for downstream SQL retrieval.

Can I count and analyze items across multiple contexts using full-text search and pgvector?▼

Yes, you can count and analyze items across multiple contexts. The Skill uses intelligent PostgreSQL queries to extract contextual information, locate specific data items, and count results using hybrid FTS and vector search.

Why use hybrid search instead of standard full-text search for retrieving contextual data?▼

Hybrid search improves retrieval accuracy by combining structured metadata filtering with semantic content matching. This reduces manual data wrangling and ensures higher quality results when locating specific documents or extracting contextual information.

Related Skills

Explore More Data & Analytics Skills→
Impertio-StudioImpertio-Studio

postgres-impl-pgvector-similarity

Implement semantic search in PostgreSQL using pgvector with HNSW and ivfflat indexes.

Official
Advanced
techybolektechybolek

qdrant-chunk-retriever

Retrieves and inspects PDF chunks from a Qdrant vector database with JSON export.

Community
Intermediate
CleanExpoCleanExpo
1

Search Indexer

Implement PostgreSQL full-text search indexing with tsvector and GIN indexes.

Community
Advanced
dalagerdalager
1

AgentDB Vector Search

Enable high-speed semantic vector search with HNSW indexing and metadata filtering.

Community
Advanced