abhishek-ch/VectorVerse
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
This tool helps data scientists, researchers, and AI practitioners experiment with different ways to store and retrieve information from documents and compare how various AI language models respond. You can input your documents, choose from several vector databases to store them, and then use different large language models (LLMs) to chat with your documents. The output allows you to see and compare the responses from these different models and storage solutions.
No commits in the last 6 months.
Use this if you need to evaluate and compare the performance of multiple vector databases and large language models for tasks like document Q&A or information retrieval, to find the best setup for your specific data and use case.
Not ideal if you are looking for a plug-and-play solution for a single, well-defined document interaction task without needing to compare underlying technologies.
Stars
48
Forks
10
Language
Python
License
—
Category
Last pushed
Jun 01, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/abhishek-ch/VectorVerse"
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