3 Commits (21a353e9c25017a8a66661edb2ed98e9b152572b)

Author	SHA1	Message	Date
Richy Wang	cab7d86f23	Implement delete interface of vector store on AnalyticDB (#7170) ... Hi, there This pull request contains two commit: **1. Implement delete interface with optional ids parameter on AnalyticDB.** **2. Allow customization of database connection behavior by exposing engine_args parameter in interfaces.** - This commit adds the `engine_args` parameter to the interfaces, allowing users to customize the behavior of the database connection. The `engine_args` parameter accepts a dictionary of additional arguments that will be passed to the create_engine function. Users can now modify various aspects of the database connection, such as connection pool size and recycle time. This enhancement provides more flexibility and control to users when interacting with the database through the exposed interfaces. This commit is related to VectorStores @rlancemartin @eyurtsev Thank you for your attention and consideration.	1 year ago
Richy Wang	444ca3f669	Improve AnalyticDB Vector Store implementation without affecting user (#6086) ... Hi there: As I implement the AnalyticDB VectorStore use two table to store the document before. It seems just use one table is a better way. So this commit is try to improve AnalyticDB VectorStore implementation without affecting user behavior: **1. Streamline the `post_init `behavior by creating a single table with vector indexing. 2. Update the `add_texts` API for document insertion. 3. Optimize `similarity_search_with_score_by_vector` to retrieve results directly from the table. 4. Implement `_similarity_search_with_relevance_scores`. 5. Add `embedding_dimension` parameter to support different dimension embedding functions.** Users can continue using the API as before. Test cases added before is enough to meet this commit.	1 year ago
Richy Wang	88a8f59aa7	Add a full PostgresSQL syntax database 'AnalyticDB' as vector store. (#3135) ... Hi there！ I'm excited to open this PR to add support for using a fully Postgres syntax compatible database 'AnalyticDB' as a vector. As AnalyticDB has been proved can be used with AutoGPT, ChatGPT-Retrieve-Plugin, and LLama-Index, I think it is also good for you. AnalyticDB is a distributed Alibaba Cloud-Native vector database. It works better when data comes to large scale. The PR includes: - [x] A new memory: AnalyticDBVector - [x] A suite of integration tests verifies the AnalyticDB integration I have read your [contributing guidelines](72b7d76d79/.github/CONTRIBUTING.md). And I have passed the tests below - [x] make format - [x] make lint - [x] make coverage - [x] make test	1 year ago