@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
# This file is automatically @generated by Poetry and should not be changed by hand.
[[package]]
name = "absl-py"
@ -613,22 +613,27 @@ cryptography = ">=3.2"
[[package]]
name = "awadb"
version = "0.3.7 "
version = "0.3.9 "
description = "AI Native database for embedding vectors"
category = "main"
optional = true
python-versions = ">=3.7"
files = [
{file = "awadb-0.3.7-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:deec44f3687aad3ef13ba3fac3e2e4fd83c710a30194d228b3f520d2fb013542"},
{file = "awadb-0.3.7-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:96e1e92e029f4b1000631bc06d6f845d554e4698851e515eafd35ff4f2b1994f"},
{file = "awadb-0.3.7-cp311-cp311-macosx_13_0_arm64.whl", hash = "sha256:46d44c4e8d97aaeb73234a2b9945b393b91dfaeae98e9fc6632ffb64bbc9e995"},
{file = "awadb-0.3.7-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:d5e379ea2f9f44687edb99c1d35719d1bed116759f800d212d9561cef99736a3"},
{file = "awadb-0.3.7-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:f2de28efa210035d278a55466023b44b8479254f3d5de69c944e6a3fcfb97879"},
{file = "awadb-0.3.7-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:7a2a3f063a133c945e12ea0ab9d9c7ab038c8255dbd867067dba0a513557124b"},
{file = "awadb-0.3.7-cp38-cp38-macosx_13_0_arm64.whl", hash = "sha256:15a8f3349ea84bdfc9c096b3760cf00363eb1908e71728b4a1e3beecda763cd5"},
{file = "awadb-0.3.7-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:3ac1ef7e1d1a591eb36a57ea65824e717f54fc521e4ae303d634e510817ba270"},
{file = "awadb-0.3.7-cp39-cp39-macosx_13_0_arm64.whl", hash = "sha256:947b6576a07e90cac31d8ff709cd0e0abc9779bc71276df817b2ffe18c1fa541"},
{file = "awadb-0.3.7-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:e4014edade8134579993639a4a3b18ff20c8449fdfc5ff511b24617109be5df7"},
{file = "awadb-0.3.9-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:8a3f88f9b4426f1c588752a5af89f2daa52b4faf5fe25046f9bfcaa8d8201298"},
{file = "awadb-0.3.9-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:1d7fa3a75fcdd81d486a5254237234058d772cb70478c2f197ee9560a3596813"},
{file = "awadb-0.3.9-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:8276b5ee5dddc48c2e111253231d64a12684bf10971c44dd5bc01ea737fdffdc"},
{file = "awadb-0.3.9-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:9c770aa9f9f17852e8cb3e78e1d3677b2c4ffda817889cf23935b3147c94a013"},
{file = "awadb-0.3.9-cp311-cp311-macosx_13_0_arm64.whl", hash = "sha256:0abaf08b1accd5b58296a13143eab2f55c576c00d896b692f8a2846bfbb33be9"},
{file = "awadb-0.3.9-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:ac6d34a6688b6daf412a859ffd85b5c18a30d25d267074dcdbc176a005fc5db2"},
{file = "awadb-0.3.9-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:151ae39f9b74a032f86a4cde7399cb5c1bdd796e995de550ae3583ddd1e45884"},
{file = "awadb-0.3.9-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:1f62bf20c0824ad57711c4898d96b74d7f083cb129b11455f36e64850fe6a064"},
{file = "awadb-0.3.9-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:3b78e0a3a87ae60242dc9d07eba12f7c455838e6c9afb22fc68c75b510f27614"},
{file = "awadb-0.3.9-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:51ca452327011cf97aa6a7316e39c7cda5c537c5a8cbbbd28a5f0f1394499845"},
{file = "awadb-0.3.9-cp38-cp38-macosx_13_0_arm64.whl", hash = "sha256:5b816916b0d61aace79b0ed0cd0bdc4b35bfc5299a095ba6e2bb350d8f485860"},
{file = "awadb-0.3.9-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:608472fcc694e298b4ff920e4e6da502d5314b6441637f608869dc6d4af627db"},
{file = "awadb-0.3.9-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:50f1ab8cf92cd714ef57dd2c496b9e65003fb531295b8f99cd89b7575578d382"},
{file = "awadb-0.3.9-cp39-cp39-macosx_13_0_arm64.whl", hash = "sha256:911b78156cb3c0e723317c622a1d3cabcaea771f464200b30709bbb4143eb8a8"},
{file = "awadb-0.3.9-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:330440be36f18e3f02cb645465618fd2a425b3260f2f645d7065d9f93857cf11"},
]
[package.extras]
@ -11274,7 +11279,7 @@ files = [
]
[package.dependencies]
accelerate = {version = ">=0.20.2", optional = true, markers = "extra == \"accelerate\" or extra == \"torch\" "}
accelerate = {version = ">=0.20.2", optional = true, markers = "extra == \"accelerate\""}
filelock = "*"
huggingface-hub = ">=0.14.1,<1.0"
numpy = ">=1.17"
@ -12531,15 +12536,15 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
cffi = ["cffi (>=1.11)"]
[extras]
all = ["O365", "aleph-alpha-client", "amadeus", "anthropic", "arxiv", "atlassian-python-api", "awadb", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-cosmos", "azure-identity", "beautifulsoup4", "clarifai", "clickhouse-connect", "cohere", "deeplake", "docarray", "duckduckgo-search", "elasticsearch", "esprima", "faiss-cpu", "google-api-python-client", "google-auth", "google-search-results", "gptcache", "html2text", "huggingface_hub", "jina", "jinja2", "jq", "lancedb", "langkit", "lark", "libdeeplake", "lxml", "manifest-ml", "marqo", "momento", "nebula3-python", "neo4j", "networkx", "nlpcloud", "nltk", "nomic", "octoai-sdk", "openai", "openlm", "opensearch-py", "pdfminer-six", "pexpect", "pgvector", "pinecone-client", "pinecone-text", "psycopg2-binary", "pymongo", "pyowm", "pypdf", "pytesseract", "python-arango", "pyvespa", "qdrant-client", "rdflib", "redis", "requests-toolbelt", "sentence-transformers", "singlestoredb", "spacy", "steamship", "tensorflow-text", "tigrisdb", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha "]
azure = ["azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-core", "azure-cosmos", "azure-identity", "azure- search-documents", "openai "]
all = ["anthropic", "clarifai", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "marqo", "pymongo", "weaviate-client", "redis", "google-api-python-client", "google-auth", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "libdeeplake", "pgvector", "psycopg2-binary", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos", "lancedb", "langkit", "lark", "pexpect", "pyvespa", "O365", "jq", "docarray", "steamship", "pdfminer-six", "lxml", "requests-toolbelt", "neo4j", "openlm", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "momento", "singlestoredb", "tigrisdb", "nebula3-python", "awadb", "esprima", "octoai-sdk", "rdflib", "amadeus", "python-arango "]
azure = ["azure-identity", "azure-cosmos", "openai", "azure-core", "azure- ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-search-documents"]
clarifai = ["clarifai"]
cohere = ["cohere"]
docarray = ["docarray"]
embeddings = ["sentence-transformers"]
extended-testing = ["atlassian-python-api", " beautifulsoup4", "bibtexparser", "cassio", "chardet", "esprima", "geopandas", "gql", "html2text", "jinja2", "jq", "lxml", "mwparserfromhell", "mwxml", "openai", "openai", "pandas", "pdfminer-six", "pgvector", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "requests-toolbelt", "scikit-learn", "streamlit", "sympy", "telethon", "tqdm", "zep-python "]
extended-testing = ["beautifulsoup4", "bibtexparser", "cassio", "chardet", "esprima", "jq", "pdfminer-six", "pgvector", "pypdf", "pymupdf", "pypdfium2", "tqdm", "lxml", "atlassian-python-api", "mwparserfromhell", "mwxml", "pandas", "telethon", "psychicapi", "zep-python", "gql", "requests-toolbelt", "html2text", "py-trello", "scikit-learn", "streamlit", "pyspark", "openai", "sympy", "rapidfuzz", "openai", "rank-bm25", "geopandas", "jinja2 "]
javascript = ["esprima"]
llms = ["anthropic", "clarifai", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "openllm", "openlm ", "torch", "transformers"]
llms = ["anthropic", "clarifai", "cohere", "openai", "openllm", "openlm", "nlpcloud", "huggingface_hub", "manifest-ml ", "torch", "transformers"]
openai = ["openai", "tiktoken"]
qdrant = ["qdrant-client"]
text-helpers = ["chardet"]
@ -12547,4 +12552,4 @@ text-helpers = ["chardet"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "dfd8a8fc0b896d75c92b268160bdd5bc87de1f997014c0f092fbc442b5c3f900 "
content-hash = "922d5837b6c26c44290cad10c90fc424075d6772daa6d4aed38c13470653882e "