Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray
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Updated
Mar 12, 2024 - Jupyter Notebook
Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
Using Qdrant, Fastembed, Google Cloud, OpenAI to build a Question Answer Cloud Based RAG System
Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
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