Data & Research · GitHub ·6 ★

prod-rag-with-gemini-pro-and-pinecone

Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex

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Details

Author
rasyosef
Category
Data & Research
Platform
GitHub
Framework
llamaindex
Language
jupyter notebook
Stars
6
First indexed
2026-05-15
Last active
2024-07-23
Directory sync
2026-05-15
@rasyosef

Overview

Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex

Quick start

git

git clone https://github.com/rasyosef/prod-rag-with-gemini-pro-and-pinecone

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

What prod-rag-with-gemini-pro-and-pinecone can do

ragllmembeddingdata
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is prod-rag-with-gemini-pro-and-pinecone?
Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
How do I install prod-rag-with-gemini-pro-and-pinecone?
Use git: `git clone https://github.com/rasyosef/prod-rag-with-gemini-pro-and-pinecone`. Full setup details on the source page linked above.
Is prod-rag-with-gemini-pro-and-pinecone open source?
prod-rag-with-gemini-pro-and-pinecone is published on GitHub.
What are alternatives to prod-rag-with-gemini-pro-and-pinecone?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for prod-rag-with-gemini-pro-and-pinecone is sourced from GitHub, published by rasyosef.

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