RAG Vector Search & Knowledge Graph Playbook
Retrieval-Augmented Generation playbook for chunking strategies, hybrid BM25 + dense vector reranking, and Pinecone / PgVector integration.
What's Inside This Handbook?
Engineered by senior artificial intelligence researchers at NextAI, this resource provides battle-tested production prompts, XML schema tags, and vector memory integration blueprints.
Chapter 1 Document Chunking & Token Overlap
Optimizing chunk sizes for PDF manuals and technical documentation.
Chapter 2 Hybrid Dense + Sparse Vector Reranking
Combining BM25 keyword matching with OpenAI text-embedding-3-large embeddings.
XML Guardrail Pattern Sample
<system_instructions>
<role>Senior Full-Stack Code Auditor</role>
<constraints>
1. Output strictly valid JSON without markdown quotes.
2. Audit private parameters for SOC2 compliance.
3. Return error_code 422 if confidence < 0.90.
</constraints>
</system_instructions>
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Download Now (5.1 MB)Frequently Asked Questions
Which vector databases are covered?
Covers PgVector (PostgreSQL), Pinecone, Qdrant, and ChromaDB.