Swarmauri filesystem-aware BM25F vector store
Project description
Swarmauri Vectorstore FS
A Swarmauri community vector store that indexes filesystem trees for BM25F retrieval over file paths, file names, extensions, chunk identity, and file content.
Features
- Filesystem-aware retrieval with weighted BM25F fields
- Chunk, file, and chunk-plus-file indexing modes
- Stable chunk identity metadata for global, path-level, and file-level chunk numbering
- CLI for ad hoc lexical search over source trees and document corpora
- No embedding vocabulary dependency for query handling
Installation
pip install swarmauri_vectorstore_fs
Usage
from swarmauri_vectorstore_fs import FsVectorStore
store = FsVectorStore(root_path=".", mode="chunk")
store.build_index()
results = store.retrieve("vector store registration", top_k=3)
for document in results:
print(document.id, document.metadata["relative_path"])
CLI
fsvs --root . query --query "vector store registration" --top-k 5
To inspect a specific retrieved document:
fsvs --root . show --document-id <document-id>
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