tazarov

#!/usr/bin/env python3
# Call the script: python wal_clean.py ./chroma-test-compact
#!/usr/bin/env python3
# Call the script: python wal_clean.py ./chroma-test-compact
import argparse
import importlib
import os
import sqlite3

import typer

tazarov

#!/bin/bash

if ! command -v sqlite3 &> /dev/null; then
    echo "sqlite3 could not be found. Please install sqlite3 and try again."
    exit 1
fi

PERSIST_DIR=$(realpath "$1")
BACKUP_DIR=$(realpath "$2")

tazarov

version: '3.9'

networks:
  net:
    driver: bridge
services:
  chromadb:
    image: chromadb/chroma:latest
    volumes:
      - ./chromadb:/chroma/chroma

tazarov

from llama_index.embeddings import OpenAIEmbedding
from llama_index.embeddings.base import BaseEmbedding
import chromadb
from chromadb.api.types import EmbeddingFunction

class LlamaIndexEmbeddingAdapter(EmbeddingFunction):
  def __init__(self,ef:BaseEmbedding):
    self.ef = ef

  def __call__(self, input: Documents) -> Embeddings:

tazarov

tazarov

tazarov

import chromadb
from chromadb.config import Settings

client = chromadb.PersistentClient(path="test", settings=Settings(allow_reset=True))

client.reset()
col = client.get_or_create_collection("test")

col.add(ids=["1", "2", "3"], documents=["He is a technology freak and he loves AI topics", "AI technology are advancing at a fast pace", "Innovation in LLMs is a hot topic"])
col.query(query_texts=["technology"], where_document={"$or":[{"$contains":"technology"}, {"$contains":"freak"}]})

tazarov

tazarov

tazarov

import uuid

from chromadb.utils import embedding_functions
import chromadb
ef = embedding_functions.DefaultEmbeddingFunction()

docs = ["Article by john", "Article by Jack", "Article by Jill"]
client = chromadb.Client()
embeddings = ef(docs)
collection = client.get_or_create_collection("test-where-list")