Advanced RAG Capabilities
Built on PostgreSQL with pgvector and FastAPI to guarantee enterprise-speed querying and secure access.
Multi-Format Support
Connect and search across PDFs, raw text, CSVs, and Excel sheets. AI parses both structured tables and unstructured paragraphs.
Natural Language SQL
Translate conversational questions directly into vector searches and JSONB queries. No SQL skills required to extract database insights.
Cited Verifications
Every response displays the exact source document name and row indices. Audit answers instantly to eliminate hallucination risks.
Secure Sandbox
Your data stays private. Protected by JWT auth, row-level isolation, and secure PostgreSQL vector boundaries.
AI document chat for every business file
ChatWithDB is built for teams that need one AI workspace for PDFs, CSV exports, Excel spreadsheets, Word documents, and live database records. Upload a file, ask a business question in plain English, and get answers grounded in the original source material.
PDF chat
Summarize contracts, reports, manuals, and research files with cited passages.
CSV analysis
Ask revenue, operations, and customer questions across raw CSV uploads.
Excel insights
Analyze workbook-style tables without formulas or manual filtering.
Database Q&A
Use natural language SQL workflows for PostgreSQL and structured records.
Natural language SQL with verifiable answers
Instead of forcing non-technical users into SQL editors, ChatWithDB turns plain-English questions into retrieval steps over structured rows, document chunks, and pgvector embeddings. Each answer keeps the audit trail visible, including the file, record, or row that supported the response.
Ask
Use everyday language such as “which region had the highest margin last quarter?”
Retrieve
Search across vector embeddings, metadata, and structured table context.
Verify
Review citations before using an answer in a report or decision workflow.
Connect Your Data & Start Chatting
Experience RAG querying with sub-second response times. Join now and upload your first file in seconds.