Budget: 3000 UAH Deadline: 3 days

Welcome! The Business Atlas team is ready to implement your project for developing an AI assistant for account managers. Your specifications clearly describe the RAG (Retrieval-Augmented Generation) architecture, which is our area of expertise.
We propose to avoid expensive custom backend development from scratch and build the system based on a flexible low-code architecture and AI agents. In my experience, there are over 50 successful projects in the UA/EU markets where this approach allowed for the implementation of complex solutions significantly faster, cheaper, and without loss of stability.
Our vision for technical implementation:
• Request processing and RAG (n8n / Make): The n8n platform will act as the main conductor of the system. When the manager writes in Telegram, a webhook sends the message to n8n, where the request is transformed into a vector (embedding). The system searches for relevant chunks of data in the vector database, passes this context to the LLM (OpenAI/Claude), and returns an accurate response to the manager without hallucinations.
• Data sources (Knowledge Base): We will set up automatic reading and updating of the knowledge base from your Google Docs and prepare modules for uploading and parsing exported Telegram chats.
• Security and access: We will implement user rights verification. We will create a simple registry database (for example, in Airtable, Supabase, or PostgreSQL — we have extensive successful experience deploying n8n + Airtable connections). Before each response, the bot will verify the user's Telegram ID, and if the employee's status changes to "Inactive," the system will immediately block access.
Our experience in similar projects:
My portfolio already includes ready-made RAG solutions that we can quickly adapt: autonomous AI agents for onboarding and training staff, which are perfectly oriented in internal corporate documentation, as well as AI agents for e-commerce that analyze the context of dialogues with clients.
Estimated timelines and costs for MVP:
• Parsing the knowledge base (Google Docs, chats) and setting up the vector database: 1 week.
• Creating the RAG workflow in n8n, integration with LLM and Telegram: 1 week.
• Setting up the access system, logging, and final tests: 1 week.
Total implementation time: 2.5 – 3.5 weeks.
Estimated cost: $2,500 – $3,500 turnkey (depending on the volume of initial data and choice of vector storage).
I personally lead the architecture and AI logic design, while our technical specialist Lavr will implement the technical assembly of the workflow in n8n/Make. We finalize the exact budget after conducting a brief expert diagnosis.
Are you ready to discuss the details in person? Expand

Budget: 27000 UAH Deadline: 24 days

The cost is 65,000 UAH for the first working version, timeframe - 24 days. This is the price for a Telegram bot with RAG, Google Docs indexing, Telegram exports upload, access rights, and normal database update logic.

We can create not just a chat with a model, but an assistant for the account manager - with database search, sources in the response, user roles, and the ability to quickly revoke access from people who no longer work on the project. !!important point!! - it’s better to include source verification in the response, as RAG without this quickly turns into a beautiful lottery =)

Technically, I would do the following:
> server part for the Telegram bot
> uploading Google Docs and Telegram exports into the knowledge base
> splitting texts into fragments, vectorization, searching for relevant fragments
> generating responses with the language model based solely on the found context
> admin list of allowed users and revoking access
> query log to see frequent questions and weak points of the database

To start, we need access to Google Docs, a sample Telegram export, a list of bot users, and 5-10 typical questions from the manager. Based on these, we will build the first database, check the quality of the search, and refine the response to a practical level.

Clarifications:
> Should Google Docs be synchronized automatically or is manual updating sufficient at the first stage?
> Should the Telegram history only be imported from exports or should new dialogues also be pulled in later?

Similar cases from Ingello:
> https://business.ingello.com/fractal - AI architecture and agent workflows
> https://business.ingello.com/vorfahr - automation of complex logic with AI components
> https://business.ingello.com/forma-crm - CRM logic, roles, manager processes, and internal systems

Main profile on systems and automation - https://systems-fl.ingello.com/ua Expand

Budget: 10000 UAH Deadline: 1 day

Hello!

We are dZENcode – a full-cycle digital solutions development company: from design and programming to integrations and post-release support. We take on projects from scratch and also engage in the enhancement of existing solutions.

We can create a Telegram bot with RAG hints for this task.

1. What is more important in the first version: searching the knowledge base or responding to messages?
2. Is immediate access control setup for the bot needed?

You can find detailed information about our services and rates on our website: Freelancehunt
Take a look – after that we can discuss the details and agree on the next steps.

⚠️ After clarifying all the details, we will determine the scope, the suitable format of collaboration: task-based, outsourcing, or outstaffing, and the final cost.

With us, projects are guaranteed to reach release:
• 10+ years providing IT services;
• 90+ in-house specialists;
• 250+ public reviews since 2015;
• We support the product under SLA after launch;
• We work under NDA and contract with the company! Expand

Budget: 3000 UAH Deadline: 1 day

Hello! I am ready to take on your project and will complete it urgently. I have extensive experience with similar tasks, so there will be no difficulties. If I have piqued your interest, feel free to write; I am happy to collaborate!

Budget: 2700 UAH Deadline: 21 days

📌Hello.👋
⭐️My name is Andrey.
⭐️My work experience: 12 years+

• ➡️I can show works specifically on creating bots in Telegram
• 🎨Portfolio: Freelancehunt
• ✅Work rating on Behance (over 600,000 views)
• 💼More works here: Dribbble

Budget: 20000 UAH Deadline: 30 days

I will write a bot in Python, integrate LLM using the RAG scheme, and connect a management access system for managers. Budget and timelines will be discussed in private correspondence.

I have experience in developing intelligent assistants using LangChain/LlamaIndex and vector databases for semantic search. Since the specifications mention Google Docs and exports from Telegram, please clarify whether the instructions and text of the conversations are planned to be uploaded to the database all at once through ready-made files (export), or is there a need for dynamic fetching of new data from Google Docs via API in real-time with every change made to the document by your management?

Budget: 3800 UAH Deadline: 2 days

A Telegram bot in this setup is a standard case. Integrations and backend wiring are what I do regularly. Portfolio: bujhmml.fun

Budget: 2000 UAH Deadline: 7 days

Hello, I worked on a chatbot for e-commerce with integration into CRM and sales automation - conversions increased by 40% and the processing time for requests was reduced from 2 hours to 5 minutes!

I am curious about the average number of requests per day for your account managers and how much time they currently spend searching for information in documents?

I suggest we get in touch; I will provide you with a free consultation on the technical side and we can create a development plan + I will tell you about my team!

Budget: 8000 UAH Deadline: 15 days

Hello! 👋

I can help with the development of a Telegram assistant bot for account managers based on RAG (Retrieval-Augmented Generation).

The task is clear: we need to create not just an AI chat, but a system that first searches for relevant information in the internal knowledge base and then formulates a response through LLM. This approach provides stable and useful answers for working with clients.

What I can implement:

• Telegram bot for managers;
• integration with OpenAI / Claude / Gemini;
• RAG architecture with embeddings and search through the knowledge base;
• connection of Google Docs as a knowledge source;
• indexing of Telegram chats and communication history;
• search through FAQs, sales scripts, regulations, and cases;
• generation of responses based on the found context;
• prompts for managers during client interactions;
• analysis of communication history;
• role and access control system;
• ability to quickly block access for an employee after termination;
• logging of requests and basic analytics.

Technically, I would implement this approximately as follows:

• Python + FastAPI / aiogram 3;
• PostgreSQL;
• Qdrant / Pinecone / ChromaDB for vector search;
• OpenAI embeddings;
• a separate backend for RAG logic;
• Docker + VPS / Cloud deployment.

Regarding security:
it is possible to implement a user whitelist, roles, an admin panel, and complete access shutdown for specific accounts at any moment.
Timeline:
approximately 2–5 weeks for the first stable version.

I have experience in creating Telegram bots, AI services, integrating OpenAI, and backend systems with databases and access logic.

I am ready to discuss the details, the scope of the knowledge base, the desired AI model, and propose an optimal architecture within your budget and load. 🚀 Expand

Budget: 2500 UAH Deadline: 5 days

Hello! The task is completely clear. I am ready to implement this assistant bot for you quickly, reliably, and at a very reasonable price.
I have a clear vision of the technical architecture of the project:
1. Interface: A stable bot on aiogram 3 with instant response.
2. Knowledge base processing (ELT): I will write a script on LangChain that will load data from Google Docs and chat exports, breaking them into optimized chunks with overlap to avoid losing context.
3. Vector storage: I will use the fast local database ChromaDB (or pgvector for PostgreSQL). To generate embeddings, we will connect to the OpenAI API.
4. Response generation (LLM): I will set up prompt engineering for GPT-4o-mini / GPT-4o so that the bot responds strictly based on the provided context, does not "hallucinate," and adheres to sales scripts.
5. Security: I will implement an admin panel in the bot where you can manage access with one click (activate/deactivate manager accounts) through the database. My proposal: I will set up the system so that you can independently upload new Google Docs to the knowledge base directly through the bot interface, without involving a programmer in the future. I am ready to discuss the details and demonstrate the logic of RAG systems in private messages. Write to me, I will be happy to collaborate!

Budget: 2000 UAH Deadline: 1 day

Good day!

RAG-bots are my specialty, I implement them turnkey according to your scheme.

What I will do:
— Ingest databases: Google Docs (with auto-updating) + export Telegram chats → cleaning, chunks.
— Embeddings + vector search (Qdrant/pgvector) → relevant chunks → LLM (GPT/Claude/Gemini) generates responses strictly from context, with references to the source.
— Telegram bot with a user-friendly interface and history.

Security: access via Telegram ID, admin instantly revokes access for those who leave the project.

Experience: I constantly work with RAG, embeddings, and vector search.

Let's clarify the volume of the database and LLM — I will immediately provide guidance on price and timeline. Write to me. Expand

Budget: 27000 UAH Deadline: 14 days

We already have a practically ready solution for such a rag-bot, we can quickly adapt it to your documents and discuss the start here, I am in touch ))

For the budget for the first working stage, I would allocate 2400 USD and 10-14 days. In this stage, we can create a Telegram bot, backend, Google Docs indexing, vector search, responses with sources, and basic access revocation.

I see in the specifications Google Docs, export of Telegram chats, and access management for people who are no longer working on the project. There is a nuance here - the quality of the rag depends not on the model, but on the slicing of documents, search, access rights, and verification of responses.

Questions for accurate assessment:
- Are the chats already in exported files, or do we need to connect to Telegram and extract the history?
- Does the bot only need to prepare draft responses for the account manager, or should it also maintain a log, quality assessment, and company tone rules?

Relevant examples:
- https://business.ingello.com/vorfahr - similar in part II, business data, and process automation
- https://business.ingello.com/fractal - similar in agency logic and complex AI processes

Main profile for such solutions:
- https://systems-fl.ingello.com/ua

AI solutions here are better launched in stages - first prototyping on real documents, then connecting chat history and security policies. We can start with a compact stage, so we don't guess the quality on paper, because practice is the criterion of truth =) Expand

Budget: 5000 UAH Deadline: 30 days

I will complete the work efficiently and in a timely manner; I am ready to clarify the details.

Budget: 1000 UAH Deadline: 1 day

Good day, I am writing on behalf of the company Devoxen. We specialize in AI/RAG systems, Telegram bots, and automation of internal business processes. We have extensive experience in implementing solutions with LLM integration, vector search, embeddings, knowledge base, and Telegram API. We can develop a fully functional Telegram bot for account managers that includes searching through Google Docs, Telegram exports, communication history, and generating responses based on relevant context.

In terms of architecture, we can build a scalable RAG system with a vector database, chunking/document indexing, role-based access, logging, and the ability to flexibly scale functionality in the future. We also implement an access management system for employees, allowing for the quick disconnection of users from the bot. Additionally, we can offer more optimized solutions for the retrieval pipeline, caching, and response quality depending on the volume of the knowledge base.

I suggest moving to private messages for a more detailed conversation.

Budget: 5000 UAH Deadline: 3 days

Hello!
We can help with the development of a Telegram bot based on RAG for an account manager.
The project is clear: we need to not just create a bot, but to build a system that searches for relevant information in a knowledge base and only after that generates a response through LLM.
We can implement:
— integration of the Telegram bot
— connection of Google Docs as a knowledge base
— processing of Telegram chat exports
— splitting data into chunks
— embeddings and searching for relevant context
— generating responses based on found materials
— prompts for the account manager
— access control for employees
— basic admin logic for user management

Technically, we see the implementation through Python + Telegram Bot API + vector database / embeddings + OpenAI or Claude API.
We can start with an MVP: a knowledge base from Google Docs, searching through it, responses in Telegram, and user access management.
We are ready to discuss the document structure, the volume of chats, the required accuracy of responses, and the MVP budget. Expand

Budget: 8000 UAH Deadline: 1 day

Good day. I am ready to complete this project as I have extensive experience in app development.

Budget: 20000 UAH Deadline: 10 days

Hello! Your brief for a Telegram bot with a RAG system for account managers is completely clear to me. I specialize in automating business processes and implementing AI on the n8n platform.

I already have ready experience in implementing such solutions — intelligent knowledge bases, corporate memory for teams, and AI assistants that work based on uploaded documents.

Here’s how I propose to implement everything:
We will connect the sources: We will set up n8n to automatically pull data from your Google Docs and exported Telegram chats.

We will connect the "memory" (RAG): For searching, we will use a vector database (Supabase/PostgreSQL). The bot will find the required piece of instruction or script in a fraction of a second, pass it to the AI (OpenAI / Claude), and provide the manager with a clear answer. The manager will receive a summary strictly based on your documents, without any "fantasies" from the neural network.

Security: We will implement simple access management. If a person leaves the project, their access to the bot and knowledge base will be closed with one click through the admin panel.

Since I am building the architecture on n8n, this will be significantly faster and more cost-effective than developing from scratch with pure code. Moreover, the system will remain flexible: you will be able to update prompts or add documents yourself without involving programmers.

I have a few quick questions about the project:
Could you tell me the approximate volume of documents currently in Google Docs and how large the exports from Telegram chats are? And how often is the information in your instructions updated? Expand

Budget: 20000 UAH Deadline: 21 days

Hello! Yulia, the key difficulty of this project is not in the bot itself, but in the quality of the data. Telegram exports without preprocessing give a hallucinatory RAG, even with a good model. I propose an MVP: Telegram bot + RAG via Google Docs + whitelist access + source citations in responses (so the manager knows where the information came from). Telegram chats — Phase 2 after clarifying the format and scope. Stack: Python + aiogram + FastAPI + ChromaDB + OpenAI embeddings + Claude/GPT for generation. Full implementation — after clarifying the details.

Budget: 9500 UAH Deadline: 10 days

Good day, Yulia!

RAG-bot for account manager — a clear task. Here is my stack:

Python + aiogram 3 — bot in Telegram

Google Docs API — uploading knowledge base, automatic updates

OpenAI text-embedding-3-small + ChromaDB — vector search in documents

GPT-4o-mini — response generation

Whitelist — access only for necessary users

Docker — deployment on server

Cost: 9,500 UAH. Deadline: 10 days.

Please clarify: are there ready Google Docs with the knowledge base, or does it need to be structured from scratch? How many documents approximately? Expand

Budget: 1111 UAH Deadline: 1 day

Hello! I am an experienced developer, capable of creating bots of any complexity, ranking TOP-4 in the "Bot Development" category. I also develop websites and API documentation in Python, where I rank TOP-2.

Regarding your project, I have some clarifying questions that will affect the assessment of your task and help understand what you want. Please write to me to clarify all the details!

You can check my skills in my resume 👉 Freelancehunt
My works are also published in my portfolio 👉 Freelancehunt

💻 I am also the CEO of a team consisting of a FrontEnd developer and a BackEnd developer! So if necessary, our team of 3 can organize a turnkey development for you!

I look forward to your response, thank you.

Budget: 7000 UAH Deadline: 7 days

Hello!

I have extensive experience in developing telegram bots and mini apps. You can view examples of my work in my portfolio. I am ready to implement a bot that will meet all your requirements.

I suggest we discuss the details in private messages.

Budget: 2000 UAH Deadline: 3 days

Hello! I have reviewed your project and am ready to start working. I guarantee high quality and prompt execution.

Budget: 18000 UAH Deadline: 14 days

Good day, Yulia! 5+ years of Python, production experience with RAG systems, Google API, and Telegram integrations (including Telethon for exporting chat history — Bot API does not allow this). Stack: aiogram + Telethon, PostgreSQL + pgvector, OpenAI/Voyage embeddings, Claude/GPT for generation. Access control — through middleware + audit log. Clarification: is the knowledge base updated once during indexing, or is real-time synchronization with Google Docs needed (with every document change)? Ready to discuss details in chat.

Budget: 19998 UAH Deadline: 1 day

development of a Telegram assistant bot for account managers based on RAG.

The bot searches for information in the knowledge base (Google Docs, history of Telegram chats) and generates responses through LLM based on relevant context.

Functionality: search in the database, response generation, working with communication history, managing user access.

Technologies: Python, RAG (embeddings + vector DB), Telegram Bot API, LLM.

Budget: 27000 UAH Deadline: 15 days

Hello. I have extensive experience in developing Telegram bots. Have you already prepared the data for RAG?

Budget: 16000 UAH Deadline: 10 days

Good day. I have experience in developing RAG systems. The key challenge in your project is the quality processing of Telegram chat exports (otherwise the bot will "hallucinate" due to noise in the dialogues) and the automatic updating of the database when Google Docs change. I propose to implement this based on PostgreSQL (pgvector) for data reliability and security, with an admin panel/commands for instant blocking of released managers. I am ready to discuss the details, feel free to write.

Budget: 10000 UAH Deadline: 10 days

Hello! I have experience in developing Telegram bots using Python (aiogram/python-telegram-bot), as well as working with RAG systems — embeddings, vector databases (Chroma, Qdrant), integration with LLM.
I am familiar with the task: parsing Google Docs via API, processing exports of Telegram chats, chunking + vector search, generating responses with context. I have also implemented an access control system for bots.

Budget: 3000 UAH Deadline: 7 days

I see that you need not just a Telegram bot, but an internal AI assistant for account managers that will find relevant information from Google Docs and chat history without the "hallucinations" of LLM.

I work with AI automation, chatbot systems, and no-code/AI integrations. I have created AI consultants for Instagram Direct using Chatfuel + Voiceflow, as well as automated CRM/workflow systems through Make.com. In similar cases, the main focus was on fast retrieval + correct context before generating a response.

For such a RAG solution, I would build the logic through chunking → embeddings → vector search → contextual response generation + role-based access. It is also important to consider the ingestion of Telegram exports and access control for employees leaving the project.

Question: have you already decided on the stack (OpenAI Assistants / LangChain / Pinecone / Weaviate), or are you open to discussing an optimal architecture based on budget and scale?

Budget: 14000 UAH Deadline: 12 days

Hello, Yulia!

The specifications are written very clearly — it is immediately evident that you understand how RAG works. This significantly simplifies the implementation.

Stack:

Python + aiogram 3 (Telegram) · LangChain (RAG orchestrator) · ChromaDB (vector database, self-hosted) · OpenAI text-embedding-3-small (embeddings) · GPT-4o-mini (generation) · Google Drive API (document synchronization) · FastAPI (webhook) · PostgreSQL (users + access) · Docker (deployment)

What I will do beyond the specifications:

— Source citation in each response: "From the sales instructions (section 2):…" — the manager immediately understands where the information comes from
— MMR search instead of regular similarity — more accurate results, fewer repetitions in the response
— Semantic cache for popular questions — reduces costs on OpenAI API by 40-60%
— Auto-synchronization of Google Docs on a schedule (for example, daily at 02:00)
— Logging requests in the database — you will be able to see what managers ask most often

Estimated timelines:

Days 1-2 — indexing pipeline (Google Docs + TG-export → ChromaDB)
Days 3-5 — Telegram bot + RAG queries + responses with source
Days 6-7 — access management, admin commands (/add_user, /remove_user)
Days 8-10 — testing on real data, tuning prompts for Ukrainian texts
Days 11-12 — Docker deployment, documentation

Four questions before the final assessment:

1. How many Google Docs are there approximately and how often are they updated?
2. How many account managers will be using the bot simultaneously?
3. Is dialogue memory needed (the bot remembers previous messages) or is each request independent?
4. What is the monthly budget allocated for OpenAI API? (this affects the choice of model and cache architecture)

Current rate — 14,000 UAH. I will be able to provide the exact amount after receiving answers to the questions above — the volume of data and the number of users can change the estimate one way or another. I am ready to discuss the details in a call. Expand

Budget: 7000 UAH Deadline: 10 days

Greetings! I have reviewed your technical specifications for creating a Telegram bot for an account manager. The task is completely clear, I have experience working with LLM API and vector databases, so I am ready to implement this project with high quality.

Here’s how I propose to structure the architecture (RAG):

Backend: Clean code in Python (Aiogram 3) — this ensures maximum response speed of the bot and stable operation without freezes.

Knowledge Base: I will set up parsing of instructions and FAQs from Google Docs via the official API, as well as import chat history from Telegram chats. The text will be automatically cleaned and broken down into optimized semantic chunks.

Embeddings and Search: For generating vectors, we will use the latest models from OpenAI (text-embedding-3). As a vector database for instant retrieval of relevant context, we will deploy ChromaDB or Qdrant.

Response Generation: I will integrate the GPT-4o-mini model (or GPT-4 at your choice). It retains context well, does not "hallucinate," and is very cost-effective in terms of API, which will save your budget on tokens.

Security and Access: I will implement a whitelist system based on the database (SQLite/PostgreSQL). You will be able to instantly revoke access for managers who are no longer working on the project through a simple admin command or menu.

Implementation Timeline: 7–10 days (including thorough testing of the RAG system and calibration of prompts for accurate responses).
Cost: I am ready to offer a very competitive price that fits your budget — 6500-8000. Expand

Budget: 8400 UAH Deadline: 3 days

Good day! I am developing in Python. I have experience in similar integrations. I am ready to take it on.

Budget: 25000 UAH Deadline: 15 days

Welcome! We are a team of developers with 4 years of experience in bot development and integration of complex solutions for business automation. We will create a reliable Telegram assistant for your account managers based on Python with a full RAG architecture. The bot will quickly analyze internal documents, regulations, and instructions, providing ready-made prompts for working with clients. We will pay special attention to cybersecurity and data protection to ensure that commercial information does not fall into the hands of third parties. We will provide clean code, stable performance under load, and flexible updates to the knowledge base without system downtime. Message us in chat to discuss the format of your output data in more detail and select the optimal language model.

Budget: 9000 UAH Deadline: 7 days

Hello! I am Volodymyr, the founder of the engineering agency Vaysed. Your technical task for developing a Telegram bot assistant for account managers based on RAG architecture fully aligns with our core technical expertise. We specialize in creating autonomous artificial intelligence systems that safely operate with closed corporate databases. To implement this project, we will deploy a robust backend in Python that will automatically load and structure information from your Google Docs and Telegram chat exports. Each document, instruction, or sales script will be broken down into semantic fragments and converted into vector embeddings, which we will place in a high-speed vector database. When the account manager sends a request to the bot, our system will instantly find the most relevant context fragments and pass them to an advanced language model to generate an accurate, reasoned, and hallucination-free response. To ensure strict corporate security, we will implement a flexible role management system: the bot will respond only after verifying unique user identifiers in a whitelist, allowing you to instantly block access for employees who have left the company. Our team has deep proven experience in building such analytical AI pipelines. We successfully implemented complex semantic search logic over large data arrays and context retention in the large-scale educational project RESTART 2026. We perfectly tuned the seamless operation of background processes for handling requests in the Lumos system architecture, and secured corporate communication routing within the Prudbay Clothes Support ecosystem. You can further assess our systems engineering approach and review implemented infrastructure solutions on the agency's official website https://vaysed.me/. Message me privately so we can discuss the format of your exports and choose the optimal vector database to start development.

Budget: 3000 UAH Deadline: 5 days

Good evening, I often engage in the development, support, and enhancement of Telegram bots. I have ready-made projects in the Python programming language, so I am happy to participate in your project.

Budget: 2000 UAH Deadline: 1 day

Hello.

I develop bots for Telegram using NodeJS. I am ready to take on the project. Write to me, and we will discuss.

Budget: 4000 UAH Deadline: 7 days

Good day! I have experience with Python, aiogram, and integrating AI APIs. For this project, ChromaDB or pgvector can be used for storing vectors, a text-embedding model for transforming documents, and the Claude API for generating responses. Telegram exports require preprocessing before indexing to increase the accuracy of the model's responses. Question: how often are the documents in Google Docs updated - is automatic synchronization needed or is manual database updating sufficient?

Budget: 7000 UAH Deadline: 14 days

Hello!
I have reviewed the specifications. I specialize in developing AI solutions (Python, OpenAI/Claude API) and I see one "bottleneck" in this project that is often overlooked: the quality of data from Telegram chats.

Doing RAG on structured Google Docs is relatively easy. But chat exports are unstructured chaos. If they are simply "chunked" and thrown into the database, the bot will hallucinate significantly.
My solution: before vectorizing the chat history, I will write the preprocessing logic (structuring dialogues in the format "Client Request ➡️ Manager Solution"). This will drastically improve the accuracy of the AI assistant.

I have two clarifying questions for a complete picture:

Do Google Docs need to be updated in real-time (via webhooks), or is a "Refresh Database" button for the admin in the bot sufficient?

Should the bot provide links to the source (for example: "Response... Source: Sales_Regulations.docx")? This greatly helps managers verify the information.

The estimated development time for such an MVP is 10-14 days. The cost is within your budget (around 7000-8000 UAH).
Message me privately, and we can discuss the details, and I will suggest how to better prepare your current data for a quick start. Expand

Budget: 20000 UAH Deadline: 14 days

Hello! I can implement it. Please message me privately to discuss all the details. I would be happy to collaborate!

Budget: 8000 UAH Deadline: 8 days

Hello. I can implement a Telegram assistant bot for an account manager with RAG logic.

What I will do:
— Telegram bot in Python;
— backend for processing requests;
— loading a knowledge base from Google Docs / text files;
— splitting documents into chunks;
— creating embeddings;
— searching for relevant fragments in the knowledge base;
— generating responses through LLM based only on the found context;
— whitelist access for managers;
— ability to revoke access from users;
— logging requests;
— instruction for launching.

For accurate implementation, it will need to be clarified: should Google Docs synchronize automatically or is manual updating sufficient; will Telegram chats be in the form of export or do they need to be pulled automatically? Expand

Budget: 12000 UAH Deadline: 7 days

Hello, I am interested in your project. I have been working on business process automation for a long time and have extensive experience in building RAG, creating Telegram bots, and connecting LLM. We can discuss in more detail in private.

Budget: 3000 UAH Deadline: 1 day

Hello! I have been developing Telegram bots for over 3 years. I have integrated LLM for building agent systems. I have experience working with RAG. I can develop everything quickly and efficiently.

The task is clear, and I am ready to start immediately.

Budget: 1000 UAH Deadline: 3 days

Good day!

I professionally develop bots in Telegram and web applications in Python. I am ready to implement such a RAG bot that integrates with LLM, Google Docs, and Telegram API, with subsequent deployment. I have experience in similar projects.

Message me privately, and we will clarify the details.

Budget: 5000 UAH Deadline: 7 days

Вітаю Юлія, готова виконати телеграм бот.

Роботи:
* elenis.com.ua
* kontur-sb.com.ua
* ald.com.ua
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* newbornk.com
Стек:
Дизайн сайтів: Figma / Photoshop
Верстка: HTML, CSS, PHP, C#, JavaScript, SQL, Sass/SCSS, LESS.
*
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OpenCart
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Next.js • TypeScript • Tailwind CSS • Laravel • React Native JS • Vuе

Детально можемо обговорити в особистих повідомленнях! Expand

Budget: 3000 UAH Deadline: 2 days

Yulia, good afternoon. I have reviewed the specifications. I am ready to implement it. I have experience in development. I will implement it using aiogram, telethon, and the API for neural networks. Deadline: 2 days Budget: 3000 Please write.

Budget: 7000 UAH Deadline: 14 days

The account manager will receive a bot that finds answers from instructions, scripts, and correspondence in seconds—without manual searching through folders and chats.

I am implementing a complete RAG pipeline: parsing Google Docs and Telegram exports, breaking into chunks, embedding and vector database (pgvector), semantic search in FastAPI backend, generation via Claude or OpenAI. The bot is on aiogram with whitelist access—removing the released manager will take a minute.

Deployment via Docker on a Linux server, PostgreSQL for state and logs, CI through GitHub Actions.

The final cost depends on the implementation details—some things are better clarified in person to ensure an accurate estimate.

Write to me—we will discuss the details and agree on a start.

Budget: 8000 UAH Deadline: 5 days

Good day, I am a Python developer with extensive experience in developing Telegram bots of various complexities. I can complete your order quickly and efficiently. Please write to discuss the details; I am ready to start today. I will also upload your bot to the server for stable operation 24/7 and will provide technical support for the bot for another month. This is included in the cost.

I have extensive experience in developing AI agents, RAG databases, and can fulfill everything according to your specifications.

Budget: 10500 UAH Deadline: 14 days

I can help, here is a similar bot that works with this service)
I develop reliable web services, integrations, automation, and API solutions.
Message me privately, and we can chat.