DocsGPT
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About
DocsGPT is an open-source AI platform designed to transform internal documentation and sensitive data into a searchable, interactive knowledge base. It allows organizations to deploy intelligent agents and private search functionality that uses their specific data as the ultimate source of truth. Unlike general-purpose AI, it focuses on information retrieval from structured and unstructured sources including SQL databases, CSV files, PDFs, and code repositories. The platform empowers teams to overcome the challenge of information being trapped across fragmented files and siloed databases. The system operates as an end-to-end framework, integrating with popular LLM providers like OpenAI, Anthropic, and Hugging Face while offering flexibility in storage through VectorDBs such as MongoDB, Elasticsearch, and Qdrant. Its architecture enables users to connect diverse data sources, from Jira and GitHub to Postgres and Sentry. In practice, the AI agents can perform complex tasks such as identifying the cause of software bugs by checking commits or drafting customer support responses based on internal policy documents. The version 0.15.0 update introduces long-term memory and advanced tooling, enabling agents to maintain context over time and interact directly with external productivity software. This tool is primarily built for technical teams, software engineers, and enterprise operations managers looking for sovereign AI solutions. It is particularly useful for customer support departments needing intelligent chatbots that understand proprietary product information, and IT teams requiring instant code insights from large repositories. Because it supports a variety of data types including HTML and Word documents, it is versatile enough for regulatory and sales teams who need to route incoming communications or extract data from complex documentation. What sets DocsGPT apart is its commitment to open-source transparency and the ability to run entirely on-premises. While many AI tools are cloud-only, DocsGPT provides a sovereign AI backbone through Docker and Kubernetes deployments. This ensures that sensitive data never leaves the organization's controlled environment. The inclusion of a code executor and the ability to verify errors by analyzing stack traces from Sentry distinguishes it from basic retrieval tools, making it a robust engine for automated technical problem-solving.
Pros & Cons
Supports high-security on-premises deployment for sensitive data protection.
Integrates directly with technical stacks like Sentry and GitHub for deep code insights.
Model-agnostic architecture works with a variety of LLM providers including Anthropic.
Open-source nature allows for full customization and community-driven development.
Provides direct references to source documents to ensure response reliability.
Basic analytics features are restricted to the paid Pro plan.
The Free plan is limited to only one user per account.
Initial technical setup for self-hosting requires expertise in Docker or Kubernetes.
Use Cases
Software engineers can integrate the tool with Sentry and GitHub to automatically identify the cause of bugs based on recent commits.
Customer support teams can build AI chatbots trained on internal PDFs to provide instant, accurate answers to complex user inquiries.
IT operations managers can connect to Postgres databases and Jira to track order statuses and update issue priorities using natural language.
Sales teams can use the AI agents to extract data from incoming mail and automatically route inquiries to the correct department.
Platform
Features
• ai agent deployment
• self-hosting via docker and kubernetes
• vectordb integration (mongodb, qdrant)
• code execution and verification
• long-term memory for agents
• support for structured and unstructured data
• multi-source integration (jira, github, postgres)
• private enterprise search
FAQs
Can I run DocsGPT on my own servers?
Yes, DocsGPT offers a self-hosted option that supports deployment via Docker and Kubernetes. This allows organizations to keep their data entirely on-premises for maximum security and data sovereignty.
Which data formats are supported?
The platform handles both structured and unstructured data, including SQL databases, CSVs, PDFs, Word documents (.docx), HTML files, and plain text. It can also integrate with live tools like Jira, GitHub, and Sentry.
Does it support different LLMs?
DocsGPT is model-agnostic and integrates with providers like OpenAI, Anthropic, and Hugging Face. Users on the self-hosted plan also have the option to integrate their own custom local models.
How does the AI ensure accuracy in its responses?
The system uses a retrieval-augmented generation approach, searching your specific data sources first to provide answers backed by references. This ensures that responses are grounded in your proprietary documents rather than general training data.
Pricing Plans
Pro
USD20.00 / per month• Unlimited questions
• Premium connectors
• Advanced models
• Basic analytics
• Email Support
Self-host
Unknown Price• Fully customizable
• Unlimited users
• Active community support
• Bring your own model
• Kubernetes and Docker support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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