Update vectorstore.py

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2026-06-02 07:16:08 +00:00
parent 2a9a4e15c6
commit d9c8796f42
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""" """Vector store utilities using ChromaDB and Ollama embeddings.
Vector store utilities for ChromaDB.
This module provides functions to create a persistent ChromaDB vector store and
load documents from a directory into it. The documents are split into
manageable chunks using a recursive character text splitter.
""" """
from pathlib import Path from pathlib import Path
from typing import Iterable
from langchain_ollama import OllamaEmbeddings
from langchain_chroma import Chroma from langchain_chroma import Chroma
from langchain_ollama import OllamaEmbeddings
from langchain_text_splitters import RecursiveCharacterTextSplitter from langchain_text_splitters import RecursiveCharacterTextSplitter
# Default persistence directory
DEFAULT_PERSIST_DIR = "./chroma_db"
def create_vectorstore(persist_directory: str = "./chroma_db"): # Default chunking parameters these can be tuned
DEFAULT_CHUNK_SIZE = 1000
DEFAULT_CHUNK_OVERLAP = 200
def create_vectorstore(persist_directory: str = DEFAULT_PERSIST_DIR) -> Chroma:
"""Create or load a Chroma vector store. """Create or load a Chroma vector store.
Parameters Parameters
---------- ----------
persist_directory: str persist_directory: str
Directory where the Chroma database is persisted. Directory where the ChromaDB files are stored.
Returns Returns
------- -------
Chroma Chroma
The Chroma vector store instance. An instance of the Chroma vector store backed by the given directory.
""" """
embeddings = OllamaEmbeddings(model="nomic-embed-text") embeddings = OllamaEmbeddings(model="nomic-embed-text")
return Chroma(persist_directory=persist_directory, embedding_function=embeddings) vectorstore = Chroma(persist_directory=persist_directory, embedding_function=embeddings)
return vectorstore
def load_documents(directory: str, vectorstore: Chroma, chunk_size: int = 1000, chunk_overlap: int = 200): def _load_text_files(directory: str | Path) -> Iterable[str]:
"""Read all .txt and .md files from a directory, split them into chunks and add to the vectorstore. """Yield the contents of all .txt and .md files in *directory*.
Parameters Parameters
---------- ----------
directory: str directory: str | Path
Path to the folder containing documents. Path to the directory containing the documents.
vectorstore: Chroma
The vector store to which documents will be added.
chunk_size: int
Maximum number of characters per chunk.
chunk_overlap: int
Number of overlapping characters between consecutive chunks.
""" """
splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap) directory = Path(directory)
docs = [] for file_path in directory.rglob("*.txt"):
for file_path in Path(directory).rglob("*.txt"): yield file_path.read_text(encoding="utf-8")
docs.append(file_path.read_text(encoding="utf-8")) for file_path in directory.rglob("*.md"):
for file_path in Path(directory).rglob("*.md"): yield file_path.read_text(encoding="utf-8")
docs.append(file_path.read_text(encoding="utf-8"))
if not docs:
return def load_documents(directory: str | Path, vectorstore: Chroma) -> None:
texts = splitter.split_text("\n\n".join(docs)) """Load documents from *directory* into *vectorstore*.
vectorstore.add_texts(texts)
The documents are split into chunks using a recursive character splitter
and then added to the vector store. Existing documents are not removed
this function simply appends new data.
Parameters
----------
directory: str | Path
Directory containing the source documents.
vectorstore: Chroma
The vector store to populate.
"""
splitter = RecursiveCharacterTextSplitter(chunk_size=DEFAULT_CHUNK_SIZE, chunk_overlap=DEFAULT_CHUNK_OVERLAP)
for text in _load_text_files(directory):
chunks = splitter.split_text(text)
vectorstore.add_texts(chunks)
# Persist changes
vectorstore.persist() vectorstore.persist()
# End of vectorstore.py