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NirantandAtita Arora
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* * feat(gemini.md): add documentation for integrating Gemini embeddings with Qdrant * * refactor(integrations): move cohere.md to embeddings folder * refactor(integrations): move openai.md to embeddings folder * refactor(integrations): move autogen.md to frameworks folder * refactor(integrations): move langchain.md to frameworks folder * blacken * * feat(embedding, frameworks): reorganise integrations into embedding and frameworks, add _index.md to both * * chore(gemini.md): remove old Gemini integration documentation * * chore(embedding/_index.md): update weight from 24 to 23 and set is_empty to false * chore(frameworks/_index.md): update weight from 24 to 23 and set is_empty to false * Split integrations into embedding and frameworks * Update heading level for embedding a document * Update Gemini embedding documentation * Update titles for embedding and frameworks sections * Try again with nesting * Add documentation for integrated frameworks and embedding options * Delete integrations documentation file * Add Delimiter; unknown weights * Change all weights to 3x * Delimiter reorg * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Update qdrant-landing/content/documentation/embedding/gemini.md Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * * docs(embedding/gemini.md): update Gemini Embedding Model API documentation * * - Add information about the new Gemini Embedding Model and its compatibility with Qdrant * - Clarify the usage of the `task_type` parameter in the API call * - Provide a list of supported task types and * * docs(embedding): update list of embedding integrations * * refactor(fifty-one.md): Rename file from embedding/fifty-one.md to frameworks/fifty-one.md * refactor(txtai.md): Rename file from embedding/txtai.md to frameworks/txtai.md * * chore(embedding): update is_empty value to true in _index.md * chore(embedding): remove Fifty One from embedding/_index.md * embedding -> embeddings --------- Co-authored-by: Atita Arora <atarora@users.noreply.github.com>
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title, weight
| title | weight |
|---|---|
| PrivateGPT | 1600 |
PrivateGPT
PrivateGPT is a production-ready AI project that allows you to inquire about your documents using Large Language Models (LLMs) with offline support.
PrivateGPT uses Qdrant as the default vectorstore for ingesting and retrieving documents.
Configuration
Qdrant settings can be configured by setting values to the qdrant property in the settings.yaml file. By default, Qdrant tries to connect to an instance at http://localhost:3000.
Example:
qdrant:
url: "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333"
api_key: "<your-api-key>"
The available configuration options are:
| Field | Description |
|---|---|
| location | If :memory: - use in-memory Qdrant instance.If str - use it as a url parameter. |
| url | Either host or str of Optional[scheme], host, Optional[port], Optional[prefix].Eg. http://localhost:6333 |
| port | Port of the REST API interface. Default: 6333 |
| grpc_port | Port of the gRPC interface. Default: 6334 |
| prefer_grpc | If true - use gRPC interface whenever possible in custom methods. |
| https | If true - use HTTPS(SSL) protocol. |
| api_key | API key for authentication in Qdrant Cloud. |
| prefix | If set, add prefix to the REST URL path.Example: service/v1 will result in http://localhost:6333/service/v1/{qdrant-endpoint} for REST API. |
| timeout | Timeout for REST and gRPC API requests. Default: 5.0 seconds for REST and unlimited for gRPC |
| host | Host name of Qdrant service. If url and host are not set, defaults to 'localhost'. |
| path | Persistence path for QdrantLocal. Eg. local_data/private_gpt/qdrant |
| force_disable_check_same_thread | Force disable check_same_thread for QdrantLocal sqlite connection. |
Next steps
Find the PrivateGPT docs here.