leeroy-jankins/boogr

✨ Overview

Boogr is derived from BAAI's bge-small-en-v1.5, part of the BGE (BAAI General Embedding) family.

The upstream model family is designed for dense retrieval and text embedding tasks such as:

• semantic search
• document retrieval
• chunk similarity
• passage ranking
• clustering
• sentence-level representation learning

Within Chonky, Boogr is the lightweight local English embedding option and is best suited for:

• default local installations
• offline embedding workflows
• rapid experimentation
• development and testing
• vectorizing chunked corpora on lower-resource systems

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🧠 Why Boogr Exists

Chonky supports both hosted and local embedding workflows. Boogr exists to give Chonky users a fully local, low-friction embedding path that avoids dependence on hosted provider APIs for common semantic-search tasks.

Boogr is especially useful when you want:

• local-only embeddings
• offline or restricted-network operation
• lower memory use than larger embedding models
• an English-first default embedder
• a model that is straightforward to distribute with the application

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🔬 Base Model Lineage

Boogr is derived from:

• Upstream base model: BAAI/bge-small-en-v1.5
• Model family: BGE / FlagEmbedding
• Primary task family: feature extraction / text embeddings
• Language focus: English
• License: MIT

The v1.5 revision of the BGE family was introduced to improve retrieval behavior and address similarity-distribution issues observed in earlier releases.

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🏗️ Position in the Chonky Local Stack

Boogr is intended to occupy the following role among Chonky's local GGUF embedders:

• Boogr → lightweight local default
• Nomnom → retrieval-oriented Nomic-based local option
• Bobo → heavier, higher-quality local option

This makes Boogr the best starting point when you want a local model that is practical, fast enough, and easy to deploy broadly.

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📦 Expected Local File Path

Chonky expects Boogr at the following location:

models/
└── boogr/
    └── boogr-small-en-v1.5-q8_0.gguf