Summarizes, extracts, and rewrites content from files.
Aktilot
FreeStarting price
0Popularity
About Aktilot
Aktilot is an open-source platform designed to transform document collections into reliable, traceable question-answering systems. It combines workflow orchestration, hybrid retrieval, and conversational AI into a production-ready developer experience. The tool isolates knowledge by projects, allowing teams to group documents by client, team, or use case with dedicated vector stores to prevent cross-contamination. Each agent within a project can be configured with distinct system prompts, personas, and retrieval depths, enabling different behaviors for different use cases within the same document set. Documents in PDF, Word, or plain text formats are automatically split into overlapping chunks, embedded, and indexed into ChromaDB with real-time processing status visible in the UI. Every response includes source attribution with filename, chunk position, and relevance score, while the full retrieval trace exposes extracted keywords, vector search candidates, reranking steps, assembled context, and timing metrics.
Key features
- Project-based document isolation with dedicated vector stores
- Configurable agent personas and retrieval depths
- Automatic document chunking and embedding into ChromaDB
- Source-attributed responses with relevance scoring
- Full retrieval trace visualization in UI
- Temporal workflow orchestration with checkpointing
- Multi-format document ingestion (PDF, Word, plain text)
- Hybrid BM25 + vector retrieval pipeline
Use cases
- Internal knowledge bases for engineering runbooks
- Client-specific document repositories for legal teams
- Research paper analysis with source attribution
Pros
- Self-hosted deployment with data remaining on local infrastructure
- Hybrid BM25 + vector retrieval for improved factual accuracy
- Full pipeline transparency with step-by-step workflow tracing
- Durable workflows with automatic retries and checkpointing
- Multi-LLM provider support including local model execution
Cons
- Requires Docker and an LLM provider for operation
- No hosted SaaS option available
- Setup involves command-line configuration
- Limited to document formats supported by ChromaDB
Frequently asked questions about Aktilot
What is Aktilot and what does it do?
Aktilot is an open-source platform that transforms document collections into reliable, traceable question-answering systems. It enables users to ask questions in plain English about their documents while keeping data on their own infrastructure.
Who is Aktilot designed for?
Aktilot is designed for developers and teams who need a self-hosted, production-ready solution for document-based Q&A systems. It suits organizations handling sensitive data or requiring full control over their AI workflows.
How does Aktilot handle document processing and retrieval?
Aktilot processes documents by splitting them into overlapping chunks, embedding them, and indexing them into ChromaDB. It uses a hybrid retrieval approach combining BM25 and vector search to improve accuracy, especially for factual queries.
Can Aktilot run on my own infrastructure?
Yes, Aktilot is designed to run entirely on your infrastructure. It uses Docker containers for Postgres, ChromaDB, and workers, and allows you to bring your own LLM provider or run models locally.
Does Aktilot provide source attribution for answers?
Yes, every response includes source attribution with filename, chunk position, and relevance score. The full retrieval trace exposes extracted keywords, vector search candidates, reranking steps, and timing metrics for transparency.
How do I get started with Aktilot?
To get started, clone the Aktilot repository, set up your environment variables, configure your LLM provider, and run the Docker containers. Detailed setup instructions are available in the project's documentation.
