11 3 5

Tarun Jain

lucifertrj

https://youtube.com/@aiwithtarun

TRJ_0751

lucifertrj

AI & ML interests

Deep Learning, FPGA, and ML

Articles

Evaluate RAG pipeline using HuggingFace Open Source Models

3 days ago

• 1

Build Agentic Workflow using OpenAGI and HuggingFace models

3 days ago

• 4

Organizations

Posts 3

Post

1538

Observability and Retrieval Augmented Generation in 10 lines of Code

Tutorial: https://www.youtube.com/watch?v=VCQ0Cw-GF2U

This video covers:
- Why we need observability?
- Implementation of RAG using BeyondLLM
- Monitor and Track LLM Observability using Phoenix

Post

2078

Advanced RAG - Hybrid Search using HuggingFace Models

Chat with PDF in 10 lines of code:

# pip install beyondllm
# pip install llama-index-embeddings-fastembed

from beyondllm import source,retrieve,embeddings,llms,generator
import os
from getpass import getpass
os.environ['HUGGINGFACE_ACCESS_TOKEN'] = getpass("Enter your HF API token:")

data = source.fit("sample.pdf", dtype="pdf")
embed_model = embeddings.FastEmbedEmbeddings()

retriever = auto_retriever(
    data=data, embed_model=embed_model,
    type="hybrid", top_k=5, mode="OR"
)

llm = HuggingFaceHubModel(model="mistralai/Mistral-7B-Instruct-v0.2")
pipeline = generator.Generate(question="<replace-with-your-query>",llm=llm,retriever=retriever)
print(pipeline.call())