โ AI Solutions
๐ฌ
Chatbots with RAG
AI chatbot with Retrieval-Augmented Generation on your company's documentation. Accurate answers from internal sources, citations that lead to original documents, no hallucinations.
โ CAPABILITIES
What we deliver technically.
๐
Vector DB
Pinecone/Qdrant with OpenAI or Cohere embedding model
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Multi-source
PDF, Notion, Confluence, Google Drive, website crawl
๐
Citations with links
Each answer links to the source document
๐
Multi-language
Query in RO/EN, response in the user's language
Tech stack
PineconeOpenAI EmbeddingsGPT-4oNext.jsPostgreSQL
โ USE CASES
How we deliver this in practice.
Internal Knowledge Bot
The team asks questions about internal documentation without manual searching
Customer Support FAQ
Chatbot trained on FAQ + return policy + technical guides
โ PACKAGE
Standard package.
Chatbot RAG Setup
Web chatbot with vector DB + 1 source
from โฌ500
- โVector DB Pinecone (1M vectors)
- โIngest 1 source (PDF set, Notion, or website)
- โEmbedded chat widget
- โAdmin dashboard conversations
- โ1 month maintenance + retraining
โ FAQ
Frequently asked questions.
How many documents can I upload?+
Starter Tier: ~10k pages. Pro: unlimited (scalable vector DB cost).
Does it update automatically with changes?+
Yes, webhook + periodic crawl (configurable daily/weekly).
Does it work offline / on-premise?+
Yes on Enterprise tier: self-hosted vector DB + open-source LLM (Llama 3.x).
Let's discuss your project.
Free discovery call + estimate within 24h.
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