AI Infrastructure · PyPI

lambda-rag-lite

Uma biblioteca Python leve para RAG (Retrieval-Augmented Generation) compatível com LangChain, que não requer dependências pesadas como NumPy ou bibliotecas de ML.

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Details

Author
Rafael Sales
GitHub profile
@dmux
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/dmux/lambda-rag-lite
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@dmux

Overview

Uma biblioteca Python leve para RAG (Retrieval-Augmented Generation) compatível com LangChain, que não requer dependências pesadas como NumPy ou bibliotecas de ML.

Quick start

pip

pip install lambda-rag-lite

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What lambda-rag-lite can do

ragembeddingairetrievallangchain
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.
  • Langchain — langchain task automation.

Frequently asked questions

What is lambda-rag-lite?
Uma biblioteca Python leve para RAG (Retrieval-Augmented Generation) compatível com LangChain, que não requer dependências pesadas como NumPy ou bibliotecas de ML.
How do I install lambda-rag-lite?
Use pip: `pip install lambda-rag-lite`. Full setup details on the source page linked above.
Is lambda-rag-lite open source?
lambda-rag-lite is published on PyPI.
What are alternatives to lambda-rag-lite?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for lambda-rag-lite is sourced from PyPI, published by Rafael Sales.

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