Category
AI/ML

About Taskora AI Agent

Taskora AI Agent showcases a fully modernized, AI-powered Retrieval-Augmented Generation (RAG) platform built to help enterprises efficiently manage, search, and analyze large volumes of documents with exceptional accuracy and minimal hallucination.

  • Automated file ingestion and preprocessing
  • Corpus and knowledge-base management
  • Embedding generation and vector storage
  • High-precision semantic search
  • LLM-powered responses using Mistral 7B

Overall, the solution delivers a reliable, transparent, and scalable AI knowledge platform—empowering enterprises to unlock insights from their documents with speed, precision, and cost efficiency.

TaskoraAgent_FeatureImage
Taskora_FlowArchitecture_Diagram

Solution Highlights

Corpora & Document Management

  • Create, update, retrieve, and delete corpora (vector indexes).
  • Supports uploading PDF, CSV, Markdown, TXT, and raw text.

Automated RAG Workflow

  • Automatic chunking of document content.
  • Embedding generation via Pinecone Inference API.
  • Vector storage and similarity search through Pinecone serverless indexes.

LLM-Powered Semantic Answering

  • Retrieves top-k relevant chunks using Pinecone search.
  • Passes contextual data to Mistral 7B for accurate responses.

Interactive Google ADK Agent

  • Add text or documents
  • Add or delete corpora
  • View corpus details
  • Remove stored content
  • Run real-time semantic queries

Cost-Optimized Architecture

  • Replaces costly Vertex AI embeddings/vector DB with Pinecone.
  • Achieves a 76–100% reduction in overall RAG costs.

Document Processing

  • Users upload files through the ADK Web Agent UI.
  • FastAPI extracts/normalizes text and stores metadata in MySQL.
  • Content is chunked and embedded automatically.

Results achieved

  • Reduced document search time by 70–90%, delivering instant access to enterprise knowledge.
  • Cut research and manual review costs by 60–80% through AI-powered automation.
  • Optimized infrastructure costs by up to 76–100% with a scalable, serverless vector architecture.
  • Boosted team productivity by 40–60% via self-service semantic document search.
  • Improved answer accuracy by 90%+, significantly reducing hallucination risk.
  • Enabled scalable enterprise growth without proportional infrastructure cost increases.

AUTOMATION TESTING TOOLS

Pytest

Pytest

FastAPI TestClient

FastAPI TestClient

Apache JMeter

Apache JMeter

Allure Reports

Allure Reports

Jira

Jira

Jenkins

Jenkins

Docker

Docker

Project Screenshots

TaskoraAgent Dashboard

Technologies used

FastAPI

FastAPI

Mistral 7B

Mistral 7B

Pinecone

Pinecone

Google Agent Dev Kit

Google Agent Dev Kit

MySQL

MySQL

MAP_New

Global Footprints

Served clients across the globe from38+ countries

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