Powered by Pinecone 768-dim vector search and Google Gemini 2.5 Flash for sub-second retrieval, hybrid sparse-dense rank fusion, and zero-hallucination document synthesis.
Under Section 9.2 (Limitation of Liability), the total aggregate liability of either party for all claims arising out of this Agreement is strictly capped at 2.0× the total fees paid in the preceding 12-month period, excluding instances of gross negligence or willful misconduct.
Built from scratch for deep document extraction, parallel vector indexing, and zero-hallucination verification.
Upload research papers, financial audits, or contracts. Documents are parsed, split into optimal semantic chunks, and embedded in parallel batches into isolated Pinecone namespaces.
Open workspacePoint the crawler at any documentation URL or website. Content is scraped with BeautifulSoup & Trafilatura, converted to clean markdown, and vector indexed alongside your PDFs.
Open web crawlerQueries trigger HyDE expansion, Hybrid Dense (768-dim) + Sparse BM25 scoring, Reciprocal Rank Fusion (k=60), Cross-Encoder re-ranking, and CRAG grading before Google Gemini answers.
Start research sessionConnect your personal Pinecone (pcsk_...) and Google Gemini API keys. Keys reside strictly in your browser localStorage and are sent via request headers — never stored on external servers.
Manage API vaultNo complex infrastructure setup. Connect your keys and analyze documents instantly.
Upload multiple PDF documents or crawl any live documentation URL to extract clean, formatted markdown content.
Generate 768-dimensional Google embeddings and index semantic vectors in parallel into isolated serverless Pinecone namespaces.
Execute hybrid dense + sparse BM25 search, re-rank with reciprocal rank fusion, and generate cited answers with Google Gemini.