From cdc08a434f8e82809fa33ae4ebe8541a7ffc16a8 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Thu, 13 Jun 2024 18:02:18 +0800 Subject: [PATCH] feat: support Chroma vector store (#5015) --- .github/workflows/api-tests.yml | 8 +- .gitignore | 1 + api/.env.example | 8 + api/config.py | 8 + api/controllers/console/datasets/datasets.py | 4 +- .../rag/datasource/vdb/chroma/__init__.py | 0 .../datasource/vdb/chroma/chroma_vector.py | 147 ++ api/core/rag/datasource/vdb/vector_factory.py | 3 + api/core/rag/datasource/vdb/vector_type.py | 1 + api/poetry.lock | 1249 ++++++++++++++++- api/pyproject.toml | 2 +- api/requirements.txt | 4 +- .../integration_tests/vdb/chroma/__init__.py | 0 .../vdb/chroma/test_chroma.py | 33 + docker/docker-compose.chroma.yaml | 14 + docker/docker-compose.yaml | 14 + 16 files changed, 1483 insertions(+), 13 deletions(-) create mode 100644 api/core/rag/datasource/vdb/chroma/__init__.py create mode 100644 api/core/rag/datasource/vdb/chroma/chroma_vector.py create mode 100644 api/tests/integration_tests/vdb/chroma/__init__.py create mode 100644 api/tests/integration_tests/vdb/chroma/test_chroma.py create mode 100644 docker/docker-compose.chroma.yaml diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index e2ef85431d..cff98db7e4 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -58,7 +58,7 @@ jobs: - name: Run Workflow run: dev/pytest/pytest_workflow.sh - - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS) + - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma) uses: hoverkraft-tech/compose-action@v2.0.0 with: compose-file: | @@ -67,6 +67,7 @@ jobs: docker/docker-compose.milvus.yaml docker/docker-compose.pgvecto-rs.yaml docker/docker-compose.pgvector.yaml + docker/docker-compose.chroma.yaml services: | weaviate qdrant @@ -75,6 +76,7 @@ jobs: milvus-standalone pgvecto-rs pgvector + chroma - name: Test Vector Stores run: dev/pytest/pytest_vdb.sh @@ -131,7 +133,7 @@ jobs: - name: Run Workflow run: poetry run -C api bash dev/pytest/pytest_workflow.sh - - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS) + - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma) uses: hoverkraft-tech/compose-action@v2.0.0 with: compose-file: | @@ -140,6 +142,7 @@ jobs: docker/docker-compose.milvus.yaml docker/docker-compose.pgvecto-rs.yaml docker/docker-compose.pgvector.yaml + docker/docker-compose.chroma.yaml services: | weaviate qdrant @@ -148,6 +151,7 @@ jobs: milvus-standalone pgvecto-rs pgvector + chroma - name: Test Vector Stores run: poetry run -C api bash dev/pytest/pytest_vdb.sh diff --git a/.gitignore b/.gitignore index a51465efbc..35507f4783 100644 --- a/.gitignore +++ b/.gitignore @@ -149,6 +149,7 @@ docker/volumes/qdrant/* docker/volumes/etcd/* docker/volumes/minio/* docker/volumes/milvus/* +docker/volumes/chroma/* sdks/python-client/build sdks/python-client/dist diff --git a/api/.env.example b/api/.env.example index f112721a7e..bee62cfe0b 100644 --- a/api/.env.example +++ b/api/.env.example @@ -119,6 +119,14 @@ TIDB_VECTOR_USER=xxx.root TIDB_VECTOR_PASSWORD=xxxxxx TIDB_VECTOR_DATABASE=dify +# Chroma configuration +CHROMA_HOST=127.0.0.1 +CHROMA_PORT=8000 +CHROMA_TENANT=default_tenant +CHROMA_DATABASE=default_database +CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider +CHROMA_AUTH_CREDENTIALS=difyai123456 + # Upload configuration UPLOAD_FILE_SIZE_LIMIT=15 UPLOAD_FILE_BATCH_LIMIT=5 diff --git a/api/config.py b/api/config.py index 286b3336a2..bb9f85781e 100644 --- a/api/config.py +++ b/api/config.py @@ -306,6 +306,14 @@ class Config: self.TIDB_VECTOR_PASSWORD = get_env('TIDB_VECTOR_PASSWORD') self.TIDB_VECTOR_DATABASE = get_env('TIDB_VECTOR_DATABASE') + # chroma settings + self.CHROMA_HOST = get_env('CHROMA_HOST') + self.CHROMA_PORT = get_env('CHROMA_PORT') + self.CHROMA_TENANT = get_env('CHROMA_TENANT') + self.CHROMA_DATABASE = get_env('CHROMA_DATABASE') + self.CHROMA_AUTH_PROVIDER = get_env('CHROMA_AUTH_PROVIDER') + self.CHROMA_AUTH_CREDENTIALS = get_env('CHROMA_AUTH_CREDENTIALS') + # ------------------------ # Mail Configurations. # ------------------------ diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 49e50caf70..6cbe454d37 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -479,7 +479,7 @@ class DatasetRetrievalSettingApi(Resource): vector_type = current_app.config['VECTOR_STORE'] match vector_type: - case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR: + case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA: return { 'retrieval_method': [ 'semantic_search' @@ -501,7 +501,7 @@ class DatasetRetrievalSettingMockApi(Resource): @account_initialization_required def get(self, vector_type): match vector_type: - case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR: + case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA: return { 'retrieval_method': [ 'semantic_search' diff --git a/api/core/rag/datasource/vdb/chroma/__init__.py b/api/core/rag/datasource/vdb/chroma/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/rag/datasource/vdb/chroma/chroma_vector.py b/api/core/rag/datasource/vdb/chroma/chroma_vector.py new file mode 100644 index 0000000000..2d4e1975ea --- /dev/null +++ b/api/core/rag/datasource/vdb/chroma/chroma_vector.py @@ -0,0 +1,147 @@ +import json +from typing import Any, Optional + +import chromadb +from chromadb import QueryResult, Settings +from flask import current_app +from pydantic import BaseModel + +from core.rag.datasource.entity.embedding import Embeddings +from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType +from core.rag.models.document import Document +from extensions.ext_redis import redis_client +from models.dataset import Dataset + + +class ChromaConfig(BaseModel): + host: str + port: int + tenant: str + database: str + auth_provider: Optional[str] = None + auth_credentials: Optional[str] = None + + def to_chroma_params(self): + settings = Settings( + # auth + chroma_client_auth_provider=self.auth_provider, + chroma_client_auth_credentials=self.auth_credentials + ) + + return { + 'host': self.host, + 'port': self.port, + 'ssl': False, + 'tenant': self.tenant, + 'database': self.database, + 'settings': settings, + } + + +class ChromaVector(BaseVector): + + def __init__(self, collection_name: str, config: ChromaConfig): + super().__init__(collection_name) + self._client_config = config + self._client = chromadb.HttpClient(**self._client_config.to_chroma_params()) + + def get_type(self) -> str: + return VectorType.CHROMA + + def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): + if texts: + # create collection + self.create_collection(self._collection_name) + + self.add_texts(texts, embeddings, **kwargs) + + def create_collection(self, collection_name: str): + lock_name = 'vector_indexing_lock_{}'.format(collection_name) + with redis_client.lock(lock_name, timeout=20): + collection_exist_cache_key = 'vector_indexing_{}'.format(self._collection_name) + if redis_client.get(collection_exist_cache_key): + return + self._client.get_or_create_collection(collection_name) + redis_client.set(collection_exist_cache_key, 1, ex=3600) + + def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): + uuids = self._get_uuids(documents) + texts = [d.page_content for d in documents] + metadatas = [d.metadata for d in documents] + + collection = self._client.get_or_create_collection(self._collection_name) + collection.upsert(ids=uuids, documents=texts, embeddings=embeddings, metadatas=metadatas) + + def delete_by_metadata_field(self, key: str, value: str): + collection = self._client.get_or_create_collection(self._collection_name) + collection.delete(where={key: {'$eq': value}}) + + def delete(self): + self._client.delete_collection(self._collection_name) + + def delete_by_ids(self, ids: list[str]) -> None: + collection = self._client.get_or_create_collection(self._collection_name) + collection.delete(ids=ids) + + def text_exists(self, id: str) -> bool: + collection = self._client.get_or_create_collection(self._collection_name) + response = collection.get(ids=[id]) + return len(response) > 0 + + def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: + collection = self._client.get_or_create_collection(self._collection_name) + results: QueryResult = collection.query(query_embeddings=query_vector, n_results=kwargs.get("top_k", 4)) + score_threshold = kwargs.get("score_threshold", .0) if kwargs.get('score_threshold', .0) else 0.0 + + ids: list[str] = results['ids'][0] + documents: list[str] = results['documents'][0] + metadatas: dict[str, Any] = results['metadatas'][0] + distances: list[float] = results['distances'][0] + + docs = [] + for index in range(len(ids)): + distance = distances[index] + metadata = metadatas[index] + if distance >= score_threshold: + metadata['score'] = distance + doc = Document( + page_content=documents[index], + metadata=metadata, + ) + docs.append(doc) + + return docs + + def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: + # chroma does not support BM25 full text searching + return [] + + +class ChromaVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> BaseVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix.lower() + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() + index_struct_dict = { + "type": VectorType.CHROMA, + "vector_store": {"class_prefix": collection_name} + } + dataset.index_struct = json.dumps(index_struct_dict) + + config = current_app.config + return ChromaVector( + collection_name=collection_name, + config=ChromaConfig( + host=config.get('CHROMA_HOST'), + port=int(config.get('CHROMA_PORT')), + tenant=config.get('CHROMA_TENANT', chromadb.DEFAULT_TENANT), + database=config.get('CHROMA_DATABASE', chromadb.DEFAULT_DATABASE), + auth_provider=config.get('CHROMA_AUTH_PROVIDER'), + auth_credentials=config.get('CHROMA_AUTH_CREDENTIALS'), + ), + ) diff --git a/api/core/rag/datasource/vdb/vector_factory.py b/api/core/rag/datasource/vdb/vector_factory.py index 852dc51a3a..d5c803a14a 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -52,6 +52,9 @@ class Vector: @staticmethod def get_vector_factory(vector_type: str) -> type[AbstractVectorFactory]: match vector_type: + case VectorType.CHROMA: + from core.rag.datasource.vdb.chroma.chroma_vector import ChromaVectorFactory + return ChromaVectorFactory case VectorType.MILVUS: from core.rag.datasource.vdb.milvus.milvus_vector import MilvusVectorFactory return MilvusVectorFactory diff --git a/api/core/rag/datasource/vdb/vector_type.py b/api/core/rag/datasource/vdb/vector_type.py index f2e9b9b8d4..76f2f4ae46 100644 --- a/api/core/rag/datasource/vdb/vector_type.py +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -2,6 +2,7 @@ from enum import Enum class VectorType(str, Enum): + CHROMA = 'chroma' MILVUS = 'milvus' PGVECTOR = 'pgvector' PGVECTO_RS = 'pgvecto-rs' diff --git a/api/poetry.lock b/api/poetry.lock index 6539d1518d..0beb7da768 100644 --- a/api/poetry.lock +++ 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"duckdb"]} kaleido = "0.2.1" tencentcloud-sdk-python-hunyuan = "~3.0.1158" +chromadb = "~0.5.0" [tool.poetry.group.dev] optional = true diff --git a/api/requirements.txt b/api/requirements.txt index f00a6f7079..f17f56aca3 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -16,7 +16,6 @@ pycryptodome==3.19.1 python-dotenv==1.0.0 Authlib==1.2.0 boto3==1.34.123 -tenacity==8.2.2 cachetools~=5.3.0 weaviate-client~=3.21.0 mailchimp-transactional~=1.0.50 @@ -85,4 +84,5 @@ pymysql==1.1.1 tidb-vector==0.0.9 google-cloud-aiplatform==1.49.0 vanna[postgres,mysql,clickhouse,duckdb]==0.5.5 -tencentcloud-sdk-python-hunyuan~=3.0.1158 \ No newline at end of file +tencentcloud-sdk-python-hunyuan~=3.0.1158 +chromadb~=0.5.0 diff --git a/api/tests/integration_tests/vdb/chroma/__init__.py b/api/tests/integration_tests/vdb/chroma/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/vdb/chroma/test_chroma.py b/api/tests/integration_tests/vdb/chroma/test_chroma.py new file mode 100644 index 0000000000..033f9a54da --- /dev/null +++ b/api/tests/integration_tests/vdb/chroma/test_chroma.py @@ -0,0 +1,33 @@ +import chromadb + +from core.rag.datasource.vdb.chroma.chroma_vector import ChromaConfig, ChromaVector +from tests.integration_tests.vdb.test_vector_store import ( + AbstractVectorTest, + get_example_text, + setup_mock_redis, +) + + +class ChromaVectorTest(AbstractVectorTest): + def __init__(self): + super().__init__() + self.vector = ChromaVector( + collection_name=self.collection_name, + config=ChromaConfig( + host='localhost', + port=8000, + tenant=chromadb.DEFAULT_TENANT, + database=chromadb.DEFAULT_DATABASE, + auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + auth_credentials="difyai123456", + ) + ) + + def search_by_full_text(self): + # chroma dos not support full text searching + hits_by_full_text = self.vector.search_by_full_text(query=get_example_text()) + assert len(hits_by_full_text) == 0 + + +def test_chroma_vector(setup_mock_redis): + ChromaVectorTest().run_all_tests() diff --git a/docker/docker-compose.chroma.yaml b/docker/docker-compose.chroma.yaml new file mode 100644 index 0000000000..6ca521b487 --- /dev/null +++ b/docker/docker-compose.chroma.yaml @@ -0,0 +1,14 @@ +version: '3' +services: + # Chroma vector store. + chroma: + image: ghcr.io/chroma-core/chroma:0.5.0 + restart: always + volumes: + - ./volumes/chroma:/chroma/chroma + environment: + CHROMA_SERVER_AUTHN_CREDENTIALS: difyai123456 + CHROMA_SERVER_AUTHN_PROVIDER: chromadb.auth.token_authn.TokenAuthenticationServerProvider + IS_PERSISTENT: TRUE + ports: + - "8000:8000" diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index c3b5430514..5c67406bcb 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -140,6 +140,13 @@ services: TIDB_VECTOR_USER: xxx.root TIDB_VECTOR_PASSWORD: xxxxxx TIDB_VECTOR_DATABASE: dify + # Chroma configuration + CHROMA_HOST: 127.0.0.1 + CHROMA_PORT: 8000 + CHROMA_TENANT: default_tenant + CHROMA_DATABASE: default_database + CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider + CHROMA_AUTH_CREDENTIALS: xxxxxx # Mail configuration, support: resend, smtp MAIL_TYPE: '' # default send from email address, if not specified @@ -301,6 +308,13 @@ services: TIDB_VECTOR_USER: xxx.root TIDB_VECTOR_PASSWORD: xxxxxx TIDB_VECTOR_DATABASE: dify + # Chroma configuration + CHROMA_HOST: 127.0.0.1 + CHROMA_PORT: 8000 + CHROMA_TENANT: default_tenant + CHROMA_DATABASE: default_database + CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider + CHROMA_AUTH_CREDENTIALS: xxxxxx # Notion import configuration, support public and internal NOTION_INTEGRATION_TYPE: public NOTION_CLIENT_SECRET: you-client-secret