AI Infrastructure · GitHub ·8 ★

rag_hyde_chat

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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Details

Author
SuperSecureHuman
Category
AI Infrastructure
Platform
GitHub
Framework
llamaindex
Language
python
Stars
8
First indexed
2026-05-15
Last active
2024-06-04
Directory sync
2026-05-15
@SuperSecureHuman

Overview

Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!

Quick start

git

git clone https://github.com/SuperSecureHuman/rag_hyde_chat

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What rag_hyde_chat can do

ragllminferenceembedding
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Inference — inference task automation.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is rag_hyde_chat?
Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
How do I install rag_hyde_chat?
Use git: `git clone https://github.com/SuperSecureHuman/rag_hyde_chat`. Full setup details on the source page linked above.
Is rag_hyde_chat open source?
rag_hyde_chat is published on GitHub.
What are alternatives to rag_hyde_chat?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for rag_hyde_chat is sourced from GitHub, published by SuperSecureHuman.

Last scraped: · First indexed:

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