We've built the best Retrieval Augmented Generation (RAG) as-a-Service anywhere - now with page-level citations! Absorb tables, PDFs, docs, links, videos or audio clips and use our synthetic data maker to generate FAQs and structured data from noisy, unstructured files. Search 1000s of files with our incredibly fast, hybrid database (finding related concepts OR specific keywords). Summarize results with OpenAI, Gemini or any open-source LLM of your choice. And finally, make informed LLM and synthetic data decisions by evaluating with your own golden data sets.
Here is our Quickstart Guide
Our benefits:
- Page level citations to PDFs.
- We understand tables and dirty PDFs!
- No-code UX with full API support.
- Use any LLM model + your own scripts to create synthetic data .
- Support for Google docs, sheets, etc + PDF, doc, docx, txt, links, ppt, sheets, xls, wav, mp3, mp4 and mov, including transcription and optional translation from the best speech recognition models.
- Links to live documents automatically re-indexed if they change
- Use our Golden QnA eval framework to test any workflow (especially useful for testing different embeddings + synthetic data creation prompts)
- Hybrid search - search for vectors, keywords or both.
- Cloud-based, per-API-call and per-MB pricing.