# Upload documents
curl -X PUT \
--url /v1/collections/mycollection/upload \
--form file=@may_report.pdf \
--form file=@june_report.pdf
# Start chatting
curl -X POST \
--url /v1/collections/mycollection/chat \
-d '{"message":"What is MoM change in spend?"}'Retrieval Augmented Generation (RAG) allows to enhance existing Large Language Models (LLM) with own data without the need to fine tune a model, which is often time consuming and expensive. With documentAI you can build your own RAG pipeline with single API call.
We manage the full pipeline from document processing, chunking, embedding, querying and augmenting an LLM for chat. You do not need to have any prior knowledge or experience with Artificial Intelligence to harness the power of your documents.
Whether you are planning to upload five documents or tens of thousands we take care of the scalling and maitaining the infrastructure so you can focus on building your product.
Ingesting your data is a breeze whether you have it saved locally, hosted or want to craw an entire website - we've got you covered.
Currently we support a number formats: PDF, Word, Excel, Text and Web Pages - including article extraction and are always working on expanding our supported formats.
You are always in control of your documents and can always add or remove documents from your collections to suit your needs.
Evaluating RAG pipelines is crucial to ensure high performance when documents, prompts or LLMs change. Rigorous evaluation provides insight into components by measuring faithfulness, answer relevance, context relevancy and context recall. All of this is automated for your convenience.
- Faithfulness - Measures factual accuracy of the answer using LLMs to extract statements and validate against context.
- Answer Relevancy - Measures relevance of the answer to the question by using LLM to generate probable questions for the answer and compare to actual question.
- Context Relevancy - Measures signal-to-noise ratio in retrieved contexts by using LLM to identify required sentences and compare to total.
- Context Recall - Measures if retriever found all necessary information by checking if LLM can find statements from ground truth answer in retrieved context.
Large Language Models suffer from hallucinations where they make up infromation and pass it off as a fact. With documentAI you can always see where the information came from.
Complete transparency - we store your original files so you can always double check the chatbot's statements against the source. No more guessing if the answers are correct, pull up the precise data behind the chatbot's knowledge.
The key benefit is trustworthiness. With documentAI you get explainability - the ability to validate that responses are grounded in your documents, not imaginary facts. Your customers get reliable, verifiable information, strengthening trust and satisfaction.
{
"message": {
"id": "da4c1fcd-6981-4ba4-8e6f-deae2b74824f",
"date": "2023-09-21T19:26:05.148345Z",
"content": "The iPhone sales for Apple Inc. for the three months ended July 1, 2023, and the nine months ended June 25, 2022, are as follows:\n\n- Three months ended July 1, 2023: $39,669 million\n- Nine months ended June 25, 2022: $156,778 million\n\nThese figures represent the net sales generated specifically from the iPhone product category.",
"context": [
{
"collectionId": "finance",
"documentId": "cc10f2f8-0895-4914-a6d2-1a50b4f679c8",
"chunkId": "36964a76-e8b3-4b1b-af7b-54fd18824d0d",
"content": "Rest of Asia Pacific 5,630 6,150 23,284 23,002 financeTotal net sales ! 81,797 ! 82,959 ! 293,787 ! 304,182 finance finance(1) Net sales by category: financeiPhone ! 39,669 ! 40,665 ! 156,778 ! 162,863 financeMac 6,840 7,382 21,743 28,669 financeiPad 5,791 7,224 21,857 22,118 financeWearables, Home and Accessories 8,284 8,084 30,523 31,591 financeServices 21,213 19,604 62,886 58,941 financeTotal net sales ! 81,797 ! 82,959 ! 293,787 ! 304,182 finance finance finance finance financeApple Inc. financeCONDENSED CONSOLIDATED BALANCE SHEETS (Unaudited) finance(In millions, except number of shares which are reflected in thousands and par value) finance finance July 1, finance2023 September 24, finance2022 financeASSETS: financeCurrent assets: financeCash and cash equivalents ! 28,408 ! 23,646 financeMarketable securities 34,074 24,658 financeAccounts receivable, net 19,549 28,184 financeInventories 7,351 4,946 financeVendor non-trade receivables 19,637 32,748 financeOther current assets 13,640 21,223 financeTotal current assets 122,659 135,405",
"metadata": {
"url": "https://www.apple.com/newsroom/pdfs/fy2023-q3/FY23_Q3_Consolidated_Financial_Statements.pdf"
}
},
{
"collectionId": "finance",
"documentId": "cc10f2f8-0895-4914-a6d2-1a50b4f679c8",
"chunkId": "3aa98809-f553-4c75-a83c-23189929311c",
"content": "Apple Inc. financeCONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS (Unaudited) finance(In millions, except number of shares which are reflected in thousands and per share amounts) finance Three Months Ended Nine Months Ended finance July 1, finance2023 June 25, finance2022 July 1, finance2023 June 25, finance2022 financeNet sales: finance Products ! 60,584 ! 63,355 ! 230,901 ! 245,241 finance Services 21,213 19,604 62,886 58,941 financeTotal net sales (1) 81,797 82,959 293,787 304,182 financeCost of sales: finance Products 39,136 41,485 146,696 155,084 finance Services 6,248 5,589 18,370 16,411 financeTotal cost of sales 45,384 47,074 165,066 171,495 financeGross margin 36,413 35,885 128,721 132,687 finance financeOperating expenses: financeResearch and development 7,442 6,797 22,608 19,490 financeSelling, general and administrative 5,973 6,012 18,781 18,654 financeTotal operating expenses 13,415 12,809 41,389 38,144",
"metadata": {
"url": "https://www.apple.com/newsroom/pdfs/fy2023-q3/FY23_Q3_Consolidated_Financial_Statements.pdf"
}
},
{
"collectionId": "finance",
"documentId": "cc10f2f8-0895-4914-a6d2-1a50b4f679c8",
"chunkId": "6b4674b5-8419-4f7e-a109-1d96734cb13e",
"content": "Common stock and additional paid-in capital, !0.00001 par value: 50,400,000 shares financeauthorized; 15,647,868 and 15,943,425 shares issued and outstanding, respectively 70,667 64,849 financeRetained earnings/(Accumulated deficit) 1,408 (3,068) financeAccumulated other comprehensive income/(loss) (11,801) (11,109) financeTotal shareholders’ equity 60,274 50,672 financeTotal liabilities and shareholders’ equity ! 335,038 ! 352,755 finance finance finance finance financeApple Inc. financeCONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS (Unaudited) finance(In millions) finance finance Nine Months Ended finance July 1, finance2023 June 25, finance2022 financeCash, cash equivalents and restricted cash, beginning balances ! 24,977 ! 35,929 finance financeOperating activities: financeNet income 74,039 79,082 financeAdjustments to reconcile net income to cash generated by operating activities: financeDepreciation and amortization 8,866 8,239 financeShare-based compensation expense 8,208 6,760 financeOther (1,651) 2,695 financeChanges in operating assets and liabilities:",
"metadata": {
"url": "https://www.apple.com/newsroom/pdfs/fy2023-q3/FY23_Q3_Consolidated_Financial_Statements.pdf"
}
}
]
}
}
We are developers ourselves and want to provide the best developer experience. Intuitive APIs, stellar documentation, and sample code to get you up and running fast. Support when you need it from people who speak your language.
Your wins are our wins. We want to make you successful, because when you build incredible things, we all grow stronger. The developer community propels the AI ecosystem forward.
So bring your ideas, creativity, and drive. With documentAI as your copilot, let's show the world what we can create together.
