jjordanbaird/EmailVectorDB
This project demonstrates how to parse emails, process them using OpenAI's GPT-3.5, and load the data into a Weaviate vector database for enhanced search capabilities. Utilizing few-shot prompts and parallel processing, it showcases the power of combining NLP techniques with vector search.
No commits in the last 6 months.
Stars
22
Forks
4
Language
Python
License
—
Category
Last pushed
May 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/jjordanbaird/EmailVectorDB"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FalkorDB/code-graph
A code-graph demo using GraphRAG-SDK and FalkorDB
apconw/Aix-DB
Aix-DB 基于 LangChain/LangGraph 框架,结合 MCP Skills 多智能体协作架构,实现自然语言到数据洞察的端到端转换。
symfony/ai-store
Low-level abstraction for storing and retrieving documents in a vector store.
kagisearch/vectordb
A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.
awa-ai/awadb
AI Native database for embedding vectors