Factual package intelligence from PyPI

vectordbpipe 0.2.4 package intelligence

vectorDBpipe v0.2.3 — Enterprise Omni-RAG SDK. Tri-Processing Ingestion + 4 AI Engines (Vector RAG, Vectorless RAG, GraphRAG, Structured JSON Extract) + 15+ data connectors. Hotfix: includes LLM provider subpackage (sarvam, openai, groq, anthropic). One pipeline. One API. Zero gl

pip install vectordbpipe

Current version
0.2.4
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
140.1 KiB
Release history
13 releases with files
Median release cadence
0 days

vectordbpipe dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. PyYAML >=6.0
  2. faiss-cpu >=1.7.4
  3. sentence-transformers >=2.2.2
  4. transformers >=4.28.1
  5. torch >=2.2.0
  6. torchvision
  7. chromadb >=0.4.22
  8. pinecone-client >=3.0.0
  9. pandas >=2.0.0
  10. tqdm >=4.66.0
  11. docx2txt >=0.8
  12. beautifulsoup4 >=4.12.3
  13. PyMuPDF >=1.23.26
  14. networkx >=3.1
  15. langchain >=0.1.13
  16. langchain-core >=0.1.33
  17. pydantic >=2.0.0
  18. boto3 >=1.26.0
  19. markdown >=3.4.0
  20. python-pptx >=0.6.23
  21. requests >=2.32.3

Compatibility and release files

vectordbpipe publishes 1 wheel and 1 source archive for version 0.2.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .