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刘 方瑞 890ed775a3 Resolve: VectorSearch enabled SQLChain? (#10177) ... Squashed from #7454 with updated features We have separated the `SQLDatabseChain` from `VectorSQLDatabseChain` and put everything into `experimental/`. Below is the original PR message from #7454. ------- We have been working on features to fill up the gap among SQL, vector search and LLM applications. Some inspiring works like self-query retrievers for VectorStores (for example [Weaviate](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate_self_query.html) and [others](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query.html)) really turn those vector search databases into a powerful knowledge base! 🚀🚀 We are thinking if we can merge all in one, like SQL and vector search and LLMChains, making this SQL vector database memory as the only source of your data. Here are some benefits we can think of for now, maybe you have more 👀: With ALL data you have: since you store all your pasta in the database, you don't need to worry about the foreign keys or links between names from other data source. Flexible data structure: Even if you have changed your schema, for example added a table, the LLM will know how to JOIN those tables and use those as filters. SQL compatibility: We found that vector databases that supports SQL in the marketplace have similar interfaces, which means you can change your backend with no pain, just change the name of the distance function in your DB solution and you are ready to go! ### Issue resolved: - [Feature Proposal: VectorSearch enabled SQLChain?](https://github.com/hwchase17/langchain/issues/5122) ### Change made in this PR: - An improved schema handling that ignore `types.NullType` columns - A SQL output Parser interface in `SQLDatabaseChain` to enable Vector SQL capability and further more - A Retriever based on `SQLDatabaseChain` to retrieve data from the database for RetrievalQAChains and many others - Allow `SQLDatabaseChain` to retrieve data in python native format - Includes PR #6737 - Vector SQL Output Parser for `SQLDatabaseChain` and `SQLDatabaseChainRetriever` - Prompts that can implement text to VectorSQL - Corresponding unit-tests and notebook ### Twitter handle: - @MyScaleDB ### Tag Maintainer: Prompts / General: @hwchase17, @baskaryan DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev ### Dependencies: No dependency added		1 year ago
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autonomous_agents	Harrison/string inplace (#10153)	1 year ago
comprehend_moderation	Harrison/string inplace (#10153)	1 year ago
cpal	Add security notices on PAL and CPAL experimental chains. (#9938)	1 year ago
data_anonymizer	Temporarily remove language selection (#10097)	1 year ago
fallacy_removal	adding new chain for logical fallacy removal from model output in chain (#9887)	1 year ago
generative_agents	Use a submodule for pydantic v1 compat (#9371)	1 year ago
graph_transformers	Diffbot Graph Transformer / Neo4j Graph document ingestion (#9979)	1 year ago
llms	Use a submodule for pydantic v1 compat (#9371)	1 year ago
pal_chain	Add security notices on PAL and CPAL experimental chains. (#9938)	1 year ago
plan_and_execute	Use a submodule for pydantic v1 compat (#9371)	1 year ago
prompts	…
pydantic_v1	`poetry lock` the experimental package. (#9478)	1 year ago
retrievers	Resolve: VectorSearch enabled SQLChain? (#10177)	1 year ago
smart_llm	Use a submodule for pydantic v1 compat (#9371)	1 year ago
sql	Resolve: VectorSearch enabled SQLChain? (#10177)	1 year ago
tot	Use a submodule for pydantic v1 compat (#9371)	1 year ago
__init__.py	Use a submodule for pydantic v1 compat (#9371)	1 year ago
py.typed	Add `py.typed` file to `langchain-experimental`. (#9557)	1 year ago