Haystack-Build and Evaluate Agentic Generative AI Pipelines
- Haystack 2.0 Concepts: Pipelines, Components, Document Store, Retrievers, Evaluators
- Haystack 2.0 Advance Topics : Re-Ranker, Hybrid Retriever, Advanced Filtering, Self Correcting Loops, Agentic Pipeline using OpenAI's function calling
- Prompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of Thoughts
Course Content
11 sections • 30 lectures • 6h 9m total length
4.9 (2 reviews)
FREE
6 hours on-demand video
Access on mobile and TV
Full lifetime access
Certificate of completion
Lesson 1. Introduction
- Introduction
- Local Environment Setup
- <10,000 foot view on Language Models
Lesson 2. General Concepts
- LLM Inference Parameters
- Vector Embedding
- RAG – Retrieval Augmented Generation
Lesson 3. Haystack Pipelines
-
Pipelines 101
-
Hands On with Haystack Pipeline
Lesson 4. Haystack Components
- Components 101
- Haystack Custom Component
- Hands On with Haystack Component
Lesson 5. Haystack Document Stores and Retrieval
- Document Store
- Retrievers
Lesson 6. First RAG Pipeline
- Hands On RAG Pipeline with Haystack
Lesson 7. Bonus - RAG with AWS Bedrock Knowledge Base
- Knowledge Base 101
- Account Setup
- Knowledge Base Configuration
- Hands On with AWS Bedrock Knowledge Base
Lesson 8. Prompt Builder
- Prompt Builder with Haystack
Lesson 9. Evaluators
- Evaluator 101
- Evaluate RAG Pipeline using Evaluators
- Haystack Integration with RAGAS Evaluator
Lesson 10. Haystack 2.0 Advanced Topics
- Hybrid Revtrieval
- Self Correcting Loops
- ReRankers
- Metadata Filtering
- Function Calling with ChatGPT
- Build Agentic Pipelines using OpenAI’s Function Calling
Lesson 11. Build Multi Agentic Pipelines
- AI Agents using FastRAG and REACT Prompt Engineering
- AI Agents with Multi Tools using FastRAG and REACT Prompt Engineering
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