krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-09-29 16:08:32 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update Llama Index usage examples to work with 0.10 (#740)

Browse Source 
* Update Llama Index usage examples to work with 0.10

* Update qdrant-landing/content/documentation/tutorials/llama-index-multitenancy.md

Co-authored-by: Anush  <anushshetty90@gmail.com>

* Remove unnecessary import

---------

Co-authored-by: Anush <anushshetty90@gmail.com>
This commit is contained in:
Kacper Łukawski
2024-03-21 10:25:15 +01:00
committed by GitHub
co-authored by Anush
parent a10062e6d0
commit 0552d9bb67
2 changed files with 9 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/documentation/frameworks/llama-index.md
+8 -7
View File
@@ -6,21 +6,22 @@ aliases:
- /documentation/overview/integrations/llama-index/ - /documentation/overview/integrations/llama-index/
--- ---
# LlamaIndex (GPT Index) # LlamaIndex
LlamaIndex (formerly GPT Index) acts as an interface between your external data and Large Language Models. So you can bring your Llama Index acts as an interface between your external data and Large Language Models. So you can bring your
private data and augment LLMs with it. LlamaIndex simplifies data ingestion and indexing, integrating Qdrant as a vector index. private data and augment LLMs with it. LlamaIndex simplifies data ingestion and indexing, integrating Qdrant as a vector index.
Installing LlamaIndex is straightforward if we use pip as a package manager. Qdrant is not installed by default, so we need to Installing Llama Index is straightforward if we use pip as a package manager. Qdrant is not installed by default, so we need to
install it separately: install it separately. The integration of both tools also comes as another package.
```bash ```bash
pip install llama-index qdrant-client pip install llama-index llama-index-vector-stores-qdrant
``` ```
LlamaIndex requires providing an instance of `QdrantClient`, so it can interact with Qdrant server. Llama Index requires providing an instance of `QdrantClient`, so it can interact with Qdrant server.
```python ```python
from llama_index.core.indices.vector_store.base import VectorStoreIndex
from llama_index.vector_stores.qdrant import QdrantVectorStore from llama_index.vector_stores.qdrant import QdrantVectorStore
import qdrant_client import qdrant_client
@@ -35,5 +36,5 @@ index = VectorStoreIndex.from_vector_store(vector_store=vector_store)
``` ```
The library [comes with a notebook](https://github.com/jerryjliu/llama_index/blob/main/docs/examples/vector_stores/QdrantIndexDemo.ipynb) The library [comes with a notebook](https://github.com/run-llama/llama_index/blob/main/docs/examples/vector_stores/QdrantIndexDemo.ipynb)
that shows an end-to-end example of how to use Qdrant within LlamaIndex. that shows an end-to-end example of how to use Qdrant within LlamaIndex.
qdrant-landing/content/documentation/tutorials/llama-index-multitenancy.md
+1 -1
View File
@@ -17,7 +17,7 @@ This tutorial assumes that you have already installed Qdrant and LlamaIndex. If
following commands: following commands:
```bash ```bash
pip install qdrant-client llama-index pip install llama-index llama-index-vector-stores-qdrant
``` ```
We are going to use a local Docker-based instance of Qdrant. If you want to use a remote instance, please We are going to use a local Docker-based instance of Qdrant. If you want to use a remote instance, please