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| # Backlog | ||
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| ## Iteration +1 | ||
| - Release 0.0.0 | ||
| - Revise "Project links" (see PyPI) | ||
| - Mitigate `CRATEDB_API_KEY` | ||
| - Provide async variants for all methods | ||
| - Release 0.0.1 | ||
| - Add CrateDB adapter to LangChain's "Provider" list | ||
| - Documentation: Update all Notebooks to provide concise usage information | ||
| - Release 0.1.0 | ||
|
|
||
| ## Iteration +2 | ||
| - Documentation: Improve `as_retriever` feature: | ||
| - https://python.langchain.com/docs/tutorials/retrievers/#retrievers | ||
| - https://python.langchain.com/api_reference/mongodb/vectorstores/langchain_mongodb.vectorstores.MongoDBAtlasVectorSearch.html | ||
|
|
||
| ## Iteration +3 | ||
| - Document retrieval demo (PDF) | ||
| - Import tests from `langchain-mongodb` about PDFs | ||
| - https://github.com/langchain-ai/langchain-mongodb/blob/main/libs/mongodb/tests/integration_tests/conftest.py | ||
| - https://github.com/microsoft/markitdown (https://api.python.langchain.com/en/latest/_modules/langchain_community/document_loaders/markdown.html) | ||
| - https://github.com/getomni-ai/zerox (https://python.langchain.com/docs/integrations/document_loaders/zeroxpdfloader/#loader-features) | ||
| - https://github.com/freedmand/textra | ||
| - https://github.com/gsidhu/winocr_cli | ||
| - Unlock other subsystems: Cache, Pipeline, Docstores, Retrievers, Store, ByteStore | ||
| - https://python.langchain.com/api_reference/astradb/index.html | ||
| - https://python.langchain.com/api_reference/elasticsearch/index.html | ||
| - https://github.com/langchain-ai/langchain-mongodb/tree/main/libs/mongodb/langchain_mongodb | ||
| - https://python.langchain.com/api_reference/couchbase/cache/langchain_couchbase.cache.CouchbaseSemanticCache.html | ||
| - https://python.langchain.com/api_reference/mongodb/cache/langchain_mongodb.cache.MongoDBAtlasSemanticCache.html | ||
| - https://python.langchain.com/api_reference/community/storage/langchain_community.storage.sql.SQLStore.html | ||
| - https://python.langchain.com/api_reference/community/storage/langchain_community.storage.mongodb.MongoDBStore.html | ||
| - https://python.langchain.com/api_reference/community/storage/langchain_community.storage.mongodb.MongoDBByteStore.html | ||
| - SQL-based Docstores | ||
| - https://github.com/langchain-ai/langchain/discussions/12085 | ||
| - https://stackoverflow.com/questions/77438251/langchain-parentdocumetretriever-save-and-load | ||
| - SQLStrStore and SQLDocStore persist `str` and `Document` objects, but they can be extended easily. | ||
| Thanks, @gcheron. | ||
| - https://github.com/langchain-ai/langchain/pull/15909 | ||
| - https://github.com/gcheron/langchain/blob/sql-store/docs/docs/integrations/stores/sql.ipynb | ||
| - https://medium.com/@guilhem.cheron35/sql-storage-langchain-rags-inmemorystore-alternative-ex-with-parentdocumentretriever-pgvector-5cc162950d77 | ||
| - Get into / do more with Retrievers | ||
| - https://python.langchain.com/docs/concepts/retrieval/ | ||
| - https://api.python.langchain.com/en/latest/community/retrievers.html | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.bm25.BM25Retriever.html#langchain_community.retrievers.bm25.BM25Retriever | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.elastic_search_bm25.ElasticSearchBM25Retriever.html#langchain_community.retrievers.elastic_search_bm25.ElasticSearchBM25Retriever | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.qdrant_sparse_vector_retriever.QdrantSparseVectorRetriever.html | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.weaviate_hybrid_search.WeaviateHybridSearchRetriever.html | ||
| - https://python.langchain.com/docs/how_to/time_weighted_vectorstore/ | ||
| - Translators | ||
| - https://python.langchain.com/docs/how_to/query_constructing_filters/ | ||
| - Misc | ||
| - https://python.langchain.com/api_reference/experimental/sql/langchain_experimental.sql.base.SQLDatabaseChain.html#langchain_experimental.sql.base.SQLDatabaseChain | ||
| - https://python.langchain.com/api_reference/experimental/tabular_synthetic_data/langchain_experimental.tabular_synthetic_data.base.SyntheticDataGenerator.html#langchain_experimental.tabular_synthetic_data.base.SyntheticDataGenerator | ||
| - https://python.langchain.com/api_reference/experimental/sql/langchain_experimental.sql.base.SQLDatabaseChain.html#langchain_experimental.sql.base.SQLDatabaseChain | ||
| - https://python.langchain.com/api_reference/experimental/retrievers/langchain_experimental.retrievers.vector_sql_database.VectorSQLDatabaseChainRetriever.html#langchain_experimental.retrievers.vector_sql_database.VectorSQLDatabaseChainRetriever | ||
| - Product | ||
| - https://aws.amazon.com/kendra/ | ||
| - https://aws.amazon.com/bedrock/knowledge-bases/ | ||
| - https://cloud.google.com/document-ai | ||
| - https://cloud.google.com/generative-ai-app-builder/docs/try-enterprise-search | ||
| - https://cloud.google.com/generative-ai-app-builder/docs/try-media-search | ||
| - https://python.langchain.com/docs/tutorials/retrievers/ | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.bedrock.AmazonKnowledgeBasesRetriever.html#langchain_community.retrievers.bedrock.AmazonKnowledgeBasesRetriever | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.google_vertex_ai_search.GoogleVertexAISearchRetriever.html | ||
| - https://api.python.langchain.com/en/latest/community/retrievers/langchain_community.retrievers.google_cloud_documentai_warehouse.GoogleDocumentAIWarehouseRetriever.html | ||
|
|
||
| ## Done | ||
| - Make it work | ||
| - Remove JSONB, only PostgreSQL has it | ||
| - Update README: https://github.com/langchain-ai/langchain-postgres | ||
| - Prune subsystems that are not applicable | ||
| - Rename `chat_message_histories` to just `chat_history`, like ES is doing it | ||
| - Minimally update documentation for uploading to PyPI v0.0.0 | ||
| - Add code coverage reporting | ||
| - Dependencies: Use version ranges, focused around upper bounds | ||
| - Add PyPI project metadata |