@_DhruvBhardwaj_ Worth trying PageIndex. Law docs are naturally a tree, so let the LLM navigate the structure instead of embedding chunks. Graph db later if cross-references become the bottleneck.
Wanted to actually understand how LLMs work, so I built one from scratch instead of just reading about it. Every piece, figured out the hard way.
Still learning, but now I get it.
github.com/mohitvohraaa/g…
Final post on the Adaptive RAG project I built last month
I built a LangGraph ReAct agent that routes queries to the right retriever:
• Vector Search
• Knowledge Graph
• Hierarchical Retrieval
• Or combines them
Better retrieval, not better prompts
github.com/mohitvohraaa/a…
Continuing the Adaptive RAG project I built last month.
Biggest takeaway: retrieval quality is decided during ingestion
Miss an entity or relationship in the Knowledge Graph, and no query can recover it
Hierarchical retrieval understands document structure, not isolated facts.
Last month, I built an Adaptive RAG system to explore a question I kept running into:
Why do most RAG systems work well for factual questions, but struggle with relational and document-level reasoning?
Thought I'd start sharing the project here on X.
Cloudflare went down and the internet instantly panicked. It isn’t just a CDN but the reverse-proxy layer handling DNS, TLS, WAF, L7 routing, caching and Anycast. When that fails, routes flap, edges die and sites lose their path. When Cloudflare sneezes, the web gets a 502 fever.
IMF loans to Pakistan aren’t aid,they fund terror. Their Defence Minister admitted they’ve harbored terror for decades.This “ceasefire” is just a pause, letting Pakistan replenish resources after India’s military pressure. Once strong, expect more attacks. It’s a strategic break.
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Running https://t.co/pUSf1ypfc2 | Tonbi's AI Garage on YT
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