# Recallio.AI Documentation

## Docs

- [Delete document from memory](https://docs.recallio.ai/api-reference/knowledge/delete-document-from-memory.md): Delete a document
- [List documents stored in knowledge](https://docs.recallio.ai/api-reference/knowledge/list-documents-stored-in-knowledge.md): Retrieve stored documents for the authenticated team
- [Retrieve Live Data and Document information](https://docs.recallio.ai/api-reference/knowledge/retrieve-live-data-and-document-information.md): Retrieve all Client Software information.
- [Upload document to memory](https://docs.recallio.ai/api-reference/knowledge/upload-document-to-memory.md): Upload a PDF document. The server extracts plain text and save the content for future comparison
- [Upload Live Data](https://docs.recallio.ai/api-reference/knowledge/upload-live-data.md): Push data about defined entities.
- [Filter the memories by user or project or team and delete them](https://docs.recallio.ai/api-reference/memory/filter-the-memories-by-user-or-project-or-team-and-delete-them.md): Delete provided user, project or team. Only keys with 'Manager' role can call this endpoint
- [Filter the memories by user or project or team and export them](https://docs.recallio.ai/api-reference/memory/filter-the-memories-by-user-or-project-or-team-and-export-them.md): Export provided user, project or team in JSON or CSV format. Only keys with 'Manager' role can call this endpoint
- [Retrieve all available topics for provided user](https://docs.recallio.ai/api-reference/memory/retrieve-all-available-topics-for-provided-user.md): Retrieve all available topics for provided user. This is a list of all topics that where extracted from memories for all projects or a specific project.
- [Retrieve the summary of all facts collected](https://docs.recallio.ai/api-reference/memory/retrieve-the-summary-of-all-facts-collected.md): Retrieve the summary of all facts collected. This is a summary of all facts collected for the provided scope and filters.
- [Search memories using semantic similarity](https://docs.recallio.ai/api-reference/memory/search-memories-using-semantic-similarity.md): Performs semantic search over stored memories using cosine similarity. Returns memories ranked by relevance to the query. Optionally returns a summarized version of the memories.
- [Store a new memory (background processing)](https://docs.recallio.ai/api-reference/memory/store-a-new-memory-background-processing.md): Stores a new memory with embedding vector for semantic search and retrieval. The content will be automatically vectorized using embeddings for semantic search capabilities. This endpoint returns immediately and processes the memory in the background.
- [Add to Graph](https://docs.recallio.ai/api-reference/memorygraph-extra-pack/add-to-graph.md): Add data to the knowledge graph with automatic entity and relationship extraction.
- [Add to Graph V2](https://docs.recallio.ai/api-reference/memorygraph-extra-pack/add-to-graph-v2.md): Add data to the knowledge graph with automatic entity and relationship extraction.
- [Delete all relationships of a specific user](https://docs.recallio.ai/api-reference/memorygraph-extra-pack/delete-all-relationships-of-a-specific-user.md): Delete all relationships for the provided User. Only keys with 'Manager' role can call this endpoint
- [Get all relationships](https://docs.recallio.ai/api-reference/memorygraph-extra-pack/get-all-relationships.md): Get all relationships for a user or project. This is usefull to have the complete picture of the graph.
- [Search the Graph](https://docs.recallio.ai/api-reference/memorygraph-extra-pack/search-the-graph.md): Performs semantic search over stored graph using cosine similarity.
- [Search the Graph](https://docs.recallio.ai/api-reference/memorygraph-extra-pack/search-the-graph-1.md): Performs semantic search over stored graph using cosine similarity.
- [Implementation Deep Dive](https://docs.recallio.ai/development.md): Build resilient integrations with the Recallio Knowledge endpoints
- [Graph Memory Deep Dive](https://docs.recallio.ai/graph-memory-deep-dive.md): Design rich entity graphs and tune queries in Recallio
- [Graph Memory Overview](https://docs.recallio.ai/graph-memory-overview.md): Map your domain as entities and relationships inside Recallio
- [Graph Memory Kick Start](https://docs.recallio.ai/graph-memory-quickstart.md): Add your first entities to the Recallio graph and query them
- [Knowledge Overview](https://docs.recallio.ai/index.md): Understand how Recallio ingests and distributes your domain knowledge
- [Memory Deep Dive](https://docs.recallio.ai/memory-deep-dive.md): Tune recall quality and govern conversational data in Recallio
- [Memory Overview](https://docs.recallio.ai/memory-overview.md): See how Recallio captures, searches, and manages conversational memories
- [Memory Kick Start](https://docs.recallio.ai/memory-quickstart.md): Write your first memory and retrieve it with Recallio
- [Knowledge Quickstart](https://docs.recallio.ai/quickstart.md): Connect your first data source to Recallio in a few minutes

## OpenAPI Specs

- [swagger](https://app.recallio.ai/swagger/v1/swagger.json)
- [openapi](https://docs.recallio.ai/api-reference/openapi.json)