Data & Research · PyPI

llama-index-vector-stores-velesdb

LlamaIndex VectorStore for VelesDB: The Local AI Memory Database. Microsecond RAG retrieval.

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Details

Author
VelesDB Team
GitHub profile
@cyberlife-coder
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/cyberlife-coder/VelesDB
Framework
llamaindex
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@cyberlife-coder

Overview

LlamaIndex VectorStore for VelesDB: The Local AI Memory Database. Microsecond RAG retrieval.

Quick start

pip

pip install llama-index-vector-stores-velesdb

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

What llama-index-vector-stores-velesdb can do

llmragembeddingairetrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is llama-index-vector-stores-velesdb?
LlamaIndex VectorStore for VelesDB: The Local AI Memory Database. Microsecond RAG retrieval.
How do I install llama-index-vector-stores-velesdb?
Use pip: `pip install llama-index-vector-stores-velesdb`. Full setup details on the source page linked above.
Is llama-index-vector-stores-velesdb open source?
llama-index-vector-stores-velesdb is published on PyPI.
What are alternatives to llama-index-vector-stores-velesdb?
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 llama-index-vector-stores-velesdb is sourced from PyPI, published by VelesDB Team.

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