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RAG Local Lancedb

Build, query, and manage local vector embeddings and semantic search pipelines using LanceDB and HuggingFace/SentenceTransformers embeddings without cloud dependencies.

pedroiff0 Updated
DevOps & Infra

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Local RAG with LanceDB

This skill guides the construction and query execution of serverless, high-performance local vector databases using LanceDB and local embeddings.

When to Use

  • Building offline semantic search across local Markdown files, codebases, or documentation.
  • Storing vector embeddings with zero external cloud API costs.
  • Performing hybrid full-text + vector similarity queries.

Quick Setup & Python Usage

import lancedb

# Connect to local database directory
db = lancedb.connect("~/.local/share/agent_rag")

pedroiff0/awesome-skills/tree/main/skills/autonomous-ai-agents/rag-local-lancedb commit 261983ae72

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npx skillmds@latest add pedroiff0/rag-local-lancedb