From 35d18cdb5d91c79bb9a746ef9eec3e7ef584b0ea Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 25 Oct 2023 19:04:00 +0800 Subject: [PATCH] Update README (#89) Signed-off-by: Jael Gu --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index fb52e2f..2af77e5 100644 --- a/README.md +++ b/README.md @@ -62,7 +62,7 @@ It also supports different integrations of LLM service and databases: | **Scalar Store (Optional)** | Elastic | ✓ | ✓ | | **Memory Store** | Postgresql | ✓ | ✓ | | | MySQL and MariaDB | ✓ | | -| | SQLite | ✓ | | +| | SQLite | ✓ | ✓ | | | Oracle | ✓ | | | | Microsoft SQL Server | ✓ | | | **Rerank** | MS MARCO Cross-Encoders | ✓ | | @@ -149,7 +149,7 @@ The option using LangChain employs the use of [Agent](https://python.langchain.c - Embedding By default, the embedding module uses methods from [Sentence Transformers](https://www.sbert.net/) to convert text inputs to vectors. Here are some information about the default embedding method: - - model: [multi-qa-mpnet-base-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-cos-v1)(420MB) + - model: [BAAI/bge-base-en](https://huggingface.co/BAAI/bge-base-en) - dim: 768 - normalization: True @@ -159,7 +159,7 @@ The option using LangChain employs the use of [Agent](https://python.langchain.c - Vector Store: You need to prepare the service of vector database in advance. For example, you can refer to [Milvus Documents](https://milvus.io/docs) or [Zilliz Cloud](https://zilliz.com/doc/quick_start) to learn about how to start a Milvus service. - Scalar Store (Optional): This is optional, only work when `USE_SCALAR` is true in [configuration](config.py). If this is enabled (i.e. USE_SCALAR=True), the default scalar store will use [Elastic](https://www.elastic.co/). In this case, you need to prepare the Elasticsearch service in advance. - - Memory Store: You need to prepare the database for memory storage as well. By default, both LangChain and Towhee mode allow interaction with any database supported by [SQLAlchemy 2.0](https://docs.sqlalchemy.org/en/20/dialects/). + - Memory Store: By default, both LangChain and Towhee mode allow interaction with any database supported by [SQLAlchemy 2.0](https://docs.sqlalchemy.org/en/20/dialects/). The system will use default store configs. To set up your special connections for each database, you can also export environment variables instead of modifying the configuration file.