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GitHub / yssfklc / intro-to-vector-db
Created a vectordatabase and a document embedded into using open ai and created a chat answering questions using the context derived from the document embeddings by OpenAI and Langchain
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yssfklc%2Fintro-to-vector-db
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 45.9 KB
Dependencies:
49
Created: 4 months ago
Updated: about 1 month ago
Last pushed: 4 months ago
Last synced: 24 days ago
Topics: embedding, langchain, openai, pinecone
Files
Dependencies
- black *
- langchain *
- pinecone-client *
- tiktoken *
- aiohttp ==3.9.1
- aiosignal ==1.3.1
- annotated-types ==0.6.0
- anyio ==4.2.0
- async-timeout ==4.0.3
- attrs ==23.2.0
- black ==23.12.1
- certifi ==2023.11.17
- charset-normalizer ==3.3.2
- click ==8.1.7
- colorama ==0.4.6
- dataclasses-json ==0.6.3
- exceptiongroup ==1.2.0
- frozenlist ==1.4.1
- greenlet ==3.0.3
- idna ==3.6
- jsonpatch ==1.33
- jsonpointer ==2.4
- langchain ==0.1.3
- langchain-community ==0.0.15
- langchain-core ==0.1.15
- langsmith ==0.0.83
- marshmallow ==3.20.2
- multidict ==6.0.4
- mypy-extensions ==1.0.0
- numpy ==1.26.3
- packaging ==23.2
- pathspec ==0.12.1
- pinecone-client ==3.0.1
- platformdirs ==4.1.0
- pydantic ==2.5.3
- pydantic-core ==2.14.6
- pyyaml ==6.0.1
- regex ==2023.12.25
- requests ==2.31.0
- sniffio ==1.3.0
- sqlalchemy ==2.0.25
- tenacity ==8.2.3
- tiktoken ==0.5.2
- tomli ==2.0.1
- tqdm ==4.66.1
- typing-extensions ==4.9.0
- typing-inspect ==0.9.0
- urllib3 ==2.1.0
- yarl ==1.9.4