Capabilities
- Hybrid search retrieval pipelines
- Citation and source attribution
- Confidence scoring with fallback thresholds
- Index refresh and sync workflows
- Chunk-level relevance re-ranking
Agent type
Retrieval-augmented generation agents that ground responses in internal documents, knowledge bases, or structured data sources with citation support and confidence scoring.
Internal knowledge is scattered across Notion, Confluence, Google Drive, and Slack. Employees spend 20% of their week searching for information, and answers are inconsistent because no one knows which document is the current source of truth.
Open GuideResearchers spend 3-5 hours filtering through sources, cross-referencing claims, and organizing conclusions for a single research question. Manual synthesis is error-prone, sources get lost, and findings are hard to reproduce.
Open GuideSupport teams handle 60-80% of tickets that are repetitive FAQs, draining agent time and creating inconsistent responses. As ticket volume scales, hiring linearly is unsustainable and new agents take weeks to ramp up on product knowledge.
Open GuideOpen-source vector database (Apache 2.0) with Rust-core engine delivering 4x faster queries, serverless cloud with full-text search, and database forking.
open-source-or-cloud
Open ToolAgent framework (v1.1) with create_agent abstraction, LangGraph stateful orchestration, middleware for retries and moderation, and model profiles.
open-source
Open ToolServerless vector database with integrated inference (embed + store + query in one call), Pinecone Assistant for managed RAG, and dedicated read nodes.
usage-based
Open ToolPostgres backend with built-in pgvector for vector search, hybrid search (BM25 + vector), auth, real-time subscriptions, edge functions, and row-level security.
freemium
Open ToolOpen-source vector engine with built-in Weaviate Agents (Query, Transformation, Personalization), Hybrid Search 2.0, and multi-tenant architecture.
open-source-or-cloud
Open ToolInternal knowledge is scattered across Notion, Confluence, Google Drive, and Slack. Employees spend 20% of their week searching for information, and answers are inconsistent because no one knows which document is the current source of truth.
Open GuideResearchers spend 3-5 hours filtering through sources, cross-referencing claims, and organizing conclusions for a single research question. Manual synthesis is error-prone, sources get lost, and findings are hard to reproduce.
Open GuideSupport teams handle 60-80% of tickets that are repetitive FAQs, draining agent time and creating inconsistent responses. As ticket volume scales, hiring linearly is unsustainable and new agents take weeks to ramp up on product knowledge.
Open Guide